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Junfei Qiao 0001
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- affiliation: Beijing University of Technology, Beijing Advanced Innovation Center for Future Internet Technology, Beijing, China
Other persons with the same name
- Junfei Qiao 0002 — China Railway Engineering Design and Consulting Group Co., Ltd., Beijing, China
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2020 – today
- 2025
- [j361]Honggui Han, Mengmeng Li, Xiaolong Wu, Hongyan Yang, Junfei Qiao:
Filter transfer learning algorithm for nonlinear systems modeling with heterogeneous features. Expert Syst. Appl. 260: 125445 (2025) - 2024
- [j360]Meng Li, Wenjing Li, Zhiqian Chen, Junfei Qiao:
An adaptive evolutionary modular neural network with intermodule connections. Appl. Intell. 54(5): 4121-4139 (2024) - [j359]Yingying Cui, Xi Meng, Junfei Qiao:
Multifidelity surrogates-assisted multi-objective particle swarm algorithm for offline data-driven optimization. Appl. Intell. 54(22): 11649-11671 (2024) - [j358]Weimin Huang, Haixu Ding, Junfei Qiao:
Adaptive multi-objective competitive swarm optimization algorithm based on kinematic analysis for municipal solid waste incineration. Appl. Soft Comput. 149(Part A): 110925 (2024) - [j357]Xin Li, Ding Wang, Mingming Zhao, Junfei Qiao:
Reinforcement learning control with n-step information for wastewater treatment systems. Eng. Appl. Artif. Intell. 133: 108033 (2024) - [j356]Ding Wang, Hongyu Ma, Junfei Qiao:
Multilayer adaptive critic design with digital twin for data-driven optimal tracking control and industrial applications. Eng. Appl. Artif. Intell. 133: 108228 (2024) - [j355]Ding Wang, Hongyu Ma, Jin Ren, Ning Gao, Junfei Qiao:
Adaptive critic design with weight allocation for intelligent learning control of wastewater treatment plants. Eng. Appl. Artif. Intell. 133: 108284 (2024) - [j354]Wen Xu, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao:
Multi-objective PSO semi-supervised random forest method for dioxin soft sensor. Eng. Appl. Artif. Intell. 135: 108772 (2024) - [j353]Honggui Han, Zecheng Tang, Xiaolong Wu, Hongyan Yang, Junfei Qiao:
Self-organizing broad network with frequency-domain analysis. Eng. Appl. Artif. Intell. 137: 109155 (2024) - [j352]Tianzheng Wang, Jian Tang, Heng Xia, Cuili Yang, Wen Yu, Junfei Qiao:
Data-driven multi-objective intelligent optimal control of municipal solid waste incineration process. Eng. Appl. Artif. Intell. 137: 109157 (2024) - [j351]Yingying Cui, Xi Meng, Junfei Qiao:
Multi-condition operational optimization with adaptive knowledge transfer for municipal solid waste incineration process. Expert Syst. Appl. 238(Part C): 121783 (2024) - [j350]Hao-shan Duan, Xi Meng, Jian Tang, Junfei Qiao:
NOx emissions prediction for MSWI process based on dynamic modular neural network. Expert Syst. Appl. 238(Part C): 122015 (2024) - [j349]Ding Wang, Xin Li, Peng Xin, Ao Liu, Junfei Qiao:
Supplementary heuristic dynamic programming for wastewater treatment process control. Expert Syst. Appl. 247: 123280 (2024) - [j348]Xi-Dong Shi, Zi-Peng Wang, Junfei Qiao, Huai-Ning Wu, Xiao-Wei Zhang, Xue-Hua Yan:
Fuzzy Intermittent Control for Nonlinear PDE-ODE Coupled Systems. Int. J. Fuzzy Syst. 26(8): 2585-2601 (2024) - [j347]Yuan Wang, Ding Wang, Mingming Zhao, Ao Liu, Junfei Qiao:
Adjustable iterative Q-learning for advanced neural tracking control with stability guarantee. Neurocomputing 584: 127592 (2024) - [j346]Feng-Liang Zhao, Zipeng Wang, Junfei Qiao, Huai-Ning Wu, Tingwen Huang:
Pinning event-triggered sampled-data synchronization of coupled reaction-diffusion neural networks. Neurocomputing 599: 128028 (2024) - [j345]Shengli Du, Zexing Zhu, Xuefang Wang, Honggui Han, Junfei Qiao:
Real-time local path planning strategy based on deep distributional reinforcement learning. Neurocomputing 599: 128085 (2024) - [j344]Ding Wang, Ao Liu, Junfei Qiao:
A model-free deep integral policy iteration structure for robust control of uncertain systems. Int. J. Syst. Sci. 55(8): 1571-1583 (2024) - [j343]Cuili Yang, Danlei Wang, Jian Tang, Junfei Qiao, Wen Yu:
Multi-reservoir ESN-based prediction strategy for dynamic multi-objective optimization. Inf. Sci. 652: 119495 (2024) - [j342]Kang Li, Limin Zhang, Junfei Qiao:
Multi-task stochastic configuration network with autonomous linking and its application in wastewater treatment processes. Inf. Sci. 662: 120195 (2024) - [j341]Honggui Han, Fei-Fan Yang, Haoyuan Sun, Junfei Qiao:
Adaptive type-2 fuzzy-neural switching control for wastewater treatment process under several operating conditions. Inf. Sci. 679: 121130 (2024) - [j340]Shengli Du, Jin Han, Hao-Yuan Sun, Hong-Gui Han, Junfei Qiao:
Fully distributed practical fixed-time fault-tolerant consensus of nonlinear multiagent systems. J. Frankl. Inst. 361(18): 107275 (2024) - [j339]Shuang Yang, Wenjing Li, Junfei Qiao:
A WSFA-based adaptive feature extraction method for multivariate time series prediction. Neural Comput. Appl. 36(4): 1959-1972 (2024) - [j338]Runyu Zhang, Jian Tang, Heng Xia, Xiaotong Pan, Wen Yu, Junfei Qiao:
CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization. Neural Comput. Appl. 36(10): 5473-5498 (2024) - [j337]Yuan Wang, Ding Wang, Mingming Zhao, Nan Liu, Junfei Qiao:
Neural Q-learning for discrete-time nonlinear zero-sum games with adjustable convergence rate. Neural Networks 175: 106274 (2024) - [j336]Peng Xin, Ding Wang, Ao Liu, Junfei Qiao:
Neural critic learning with accelerated value iteration for nonlinear model predictive control. Neural Networks 176: 106364 (2024) - [j335]Menghua Li, Ding Wang, Jin Ren, Junfei Qiao:
Advanced optimal tracking integrating a neural critic technique for asymmetric constrained zero-sum games. Neural Networks 177: 106388 (2024) - [j334]Dapeng Li, Hong-Gui Han, Junfei Qiao:
Composite Boundary Structure-Based Tracking Control for Nonlinear State-Dependent Constrained Systems. IEEE Trans. Autom. Control. 69(8): 5686-5693 (2024) - [j333]Dingyuan Chen, Cuili Yang, Junfei Qiao:
Fuzzy Neural Network-Based Adaptive Asymmetric Constraint Control in Wastewater Treatment Process. IEEE Trans. Artif. Intell. 5(6): 3284-3296 (2024) - [j332]Junfei Qiao, Jian Sun, Xi Meng:
Event-Triggered Adaptive Model Predictive Control of Oxygen Content for Municipal Solid Waste Incineration Process. IEEE Trans Autom. Sci. Eng. 21(1): 463-474 (2024) - [j331]Junfei Qiao, Zijian Sun, Xi Meng:
Interval Type-2 Fuzzy Neural Network Based on Active Semi-Supervised Learning for Non-Stationary Industrial Processes. IEEE Trans Autom. Sci. Eng. 21(2): 1151-1162 (2024) - [j330]Haixu Ding, Junfei Qiao, Weimin Huang, Tao Yu:
Event-Triggered Online Learning Fuzzy-Neural Robust Control for Furnace Temperature in Municipal Solid Waste Incineration Process. IEEE Trans Autom. Sci. Eng. 21(2): 1201-1213 (2024) - [j329]Cong Chen, Honggui Han, Haoyuan Sun, Hongyan Yang, Junfei Qiao:
Multi-Objective Integrated Robust Optimal Control for Wastewater Treatment Processes. IEEE Trans Autom. Sci. Eng. 21(2): 1380-1391 (2024) - [j328]Junfei Qiao, Ruyue Yang, Ding Wang:
Offline Data-Driven Adaptive Critic Design With Variational Inference for Wastewater Treatment Process Control. IEEE Trans Autom. Sci. Eng. 21(4): 4987-4998 (2024) - [j327]Honggui Han, Chengcheng Feng, Haoyuan Sun, Junfei Qiao:
Self-Organizing Fuzzy Terminal Sliding Mode Control for Wastewater Treatment Processes. IEEE Trans Autom. Sci. Eng. 21(4): 5421-5433 (2024) - [j326]Ding Wang, Peng Xin, Jin Ren, Junfei Qiao:
Adaptive Critic Tracking Design for Data-Based Nonaffine Predictive Control. IEEE Trans Autom. Sci. Eng. 21(4): 5534-5545 (2024) - [j325]Honggui Han, Feifan Yang, Haoyuan Sun, Junfei Qiao:
Robust Type-2 Fuzzy Neural Control for Wastewater Treatment Process With External Disturbances. IEEE Trans Autom. Sci. Eng. 21(4): 7230-7241 (2024) - [j324]Huanqing Wang, Zhu Meng, Junfei Qiao, Siwen Liu:
Command Filtered-Based Adaptive Predefined-Time Control for Uncertain Nonlinear Systems With Applications to RLC Circuit. IEEE Trans. Circuits Syst. I Regul. Pap. 71(10): 4792-4801 (2024) - [j323]Ding Wang, Wenqian Fan, Ao Liu, Junfei Qiao:
Decentralized Optimal Neurocontroller Design for Mismatched Interconnected Systems via Integral Policy Iteration. IEEE Trans. Circuits Syst. II Express Briefs 71(2): 687-691 (2024) - [j322]Ding Wang, Yuan Wang, Mingming Zhao, Junfei Qiao:
Iterative Q-Learning for Model-Free Optimal Control With Adjustable Convergence Rate. IEEE Trans. Circuits Syst. II Express Briefs 71(4): 2224-2228 (2024) - [j321]Yudian Huang, Meng Li, F. Richard Yu, Pengbo Si, Haijun Zhang, Junfei Qiao:
Resources Scheduling for Ambient Backscatter Communication-Based Intelligent IIoT: A Collective Deep Reinforcement Learning Method. IEEE Trans. Cogn. Commun. Netw. 10(2): 634-648 (2024) - [j320]Xiaolong Wu, Wei Wang, Hongyan Yang, Honggui Han, Junfei Qiao:
Diversified Knowledge Transfer Strategy for Multitasking Particle Swarm Optimization. IEEE Trans. Cybern. 54(3): 1625-1638 (2024) - [j319]Honggui Han, Jiacheng Zhang, Ying Hou, Junfei Qiao:
Double-Closed-Loop Robust Optimal Control for Uncertain Nonlinear Systems. IEEE Trans. Cybern. 54(4): 2332-2344 (2024) - [j318]Zipeng Wang, Qian-Qian Li, Junfei Qiao, Huai-Ning Wu, Tingwen Huang:
Fuzzy Boundary Sampled-Data Control for Nonlinear Parabolic DPSs. IEEE Trans. Cybern. 54(6): 3565-3576 (2024) - [j317]Ding Wang, Ning Gao, Mingming Ha, Mingming Zhao, Junlong Wu, Junfei Qiao:
Intelligent-Critic-Based Tracking Control of Discrete-Time Input-Affine Systems and Approximation Error Analysis With Application Verification. IEEE Trans. Cybern. 54(8): 4690-4701 (2024) - [j316]Hao-Yuan Sun, Shuang Hou, Shengli Du, Hong-Gui Han, Junfei Qiao:
Sampled-Data H∞ Dynamic Output-Feedback Control for NCSs With Successive Packet Losses and Stochastic Sampling. IEEE Trans. Cybern. 54(10): 6024-6034 (2024) - [j315]Honggui Han, Yushuang Wang, Zheng Liu, Haoyuan Sun, Junfei Qiao:
Knowledge-Data Driven Optimal Control for Nonlinear Systems and Its Application to Wastewater Treatment Process. IEEE Trans. Cybern. 54(10): 6132-6144 (2024) - [j314]Hong-Gui Han, Yan Wang, Hao-Yuan Sun, Zheng Liu, Jun-Fei Qiao:
Data-Driven Tube-Based Robust Predictive Control for Constrained Wastewater Treatment Process. IEEE Trans. Cybern. 54(11): 6742-6754 (2024) - [j313]Hong-Gui Han, Chengcheng Feng, Hao-Yuan Sun, Jun-Fei Qiao:
Dynamic Surface Intelligent Robust Control of Nonlinear Systems With Fixed-Time Sliding-Mode Observer. IEEE Trans. Cybern. 54(11): 6767-6779 (2024) - [j312]Honggui Han, Xing Bai, Ying Hou, Junfei Qiao:
Multitask Particle Swarm Optimization With Heterogeneous Domain Adaptation. IEEE Trans. Evol. Comput. 28(1): 178-192 (2024) - [j311]Xiaolong Wu, Wei Wang, Hongyan Yang, Honggui Han, Junfei Qiao:
Multitasking Feedback Optimization Algorithm Based on an Evolutionary State Estimator. IEEE Trans. Emerg. Top. Comput. Intell. 8(3): 2554-2569 (2024) - [j310]Honggui Han, Zecheng Tang, Xiaolong Wu, Hongyan Yang, Junfei Qiao:
Robust Modeling for Industrial Process Based on Frequency Reconstructed Fuzzy Neural Network. IEEE Trans. Fuzzy Syst. 32(1): 102-115 (2024) - [j309]Hong-Gui Han, Chengcheng Feng, Hao-Yuan Sun, Jun-Fei Qiao:
Predictor-Based Self-Organizing Control for Unknown Nonlinear Dynamical Systems. IEEE Trans. Fuzzy Syst. 32(2): 524-535 (2024) - [j308]Kang Li, Junfei Qiao, Dianhui Wang:
Fuzzy Stochastic Configuration Networks for Nonlinear System Modeling. IEEE Trans. Fuzzy Syst. 32(3): 948-957 (2024) - [j307]Hao-Yuan Sun, Hong-Gui Han, Jun-Fei Qiao:
Quantized Sampled-Data Stabilization for Nonlinear NCSs Subject to Successive Packet Losses and Probabilistic Sampling. IEEE Trans. Fuzzy Syst. 32(3): 969-978 (2024) - [j306]Hao-Yuan Sun, Shuang Hou, Hong-Gui Han, Jun-Fei Qiao:
Modeling and Control of Discrete-Time T-S Fuzzy Systems Subject to Stochastic Packet Dropouts. IEEE Trans. Fuzzy Syst. 32(4): 2129-2139 (2024) - [j305]Hong-Gui Han, Chengcheng Feng, Hao-Yuan Sun, Jun-Fei Qiao:
Hierarchical Self-Organizing Fuzzy Control for Uncertain Nonlinear Systems. IEEE Trans. Fuzzy Syst. 32(4): 2471-2482 (2024) - [j304]Dapeng Li, Hong-Gui Han, Jun-Fei Qiao:
Fuzzy-Approximation Adaptive Fault Tolerant Control for Nonlinear Constraint Systems With Actuator and Sensor Faults. IEEE Trans. Fuzzy Syst. 32(5): 2614-2624 (2024) - [j303]Gongming Wang, Hong Chen, Honggui Han, Jing Bi, Junfei Qiao, Erfan Babaee Tirkolaee:
Predicting Water Quality With Nonstationarity: Event-Triggered Deep Fuzzy Neural Network. IEEE Trans. Fuzzy Syst. 32(5): 2690-2699 (2024) - [j302]Zipeng Wang, Xu Zhang, Junfei Qiao, Huai-Ning Wu, Tingwen Huang:
Fuzzy Fault-Tolerant Boundary Control for Nonlinear DPSs With Multiple Delays and Stochastic Actuator Failures. IEEE Trans. Fuzzy Syst. 32(5): 3121-3131 (2024) - [j301]Zheng Liu, Honggui Han, Junfei Qiao, Zeyu Ma:
Knowledge-Guided Adaptive Neuro-Fuzzy Self-Healing Control for Sludge Bulking in Wastewater Treatment Process. IEEE Trans. Fuzzy Syst. 32(5): 3226-3236 (2024) - [j300]Honggui Han, Zecheng Tang, Xiaolong Wu, Hongyan Yang, Junfei Qiao:
Time-Aware Fuzzy Neural Network Based on Frequency-Enhanced Modulation Mechanism. IEEE Trans. Fuzzy Syst. 32(8): 4772-4786 (2024) - [j299]Zipeng Wang, Bo-Ming Chen, Junfei Qiao, Huai-Ning Wu, Tingwen Huang:
Fuzzy Boundary Sampled-Data Control for Nonlinear DPSs With Random Time-Varying Delays. IEEE Trans. Fuzzy Syst. 32(10): 5872-5885 (2024) - [j298]Heng Xia, Jian Tang, Wen Yu, Junfei Qiao:
Hybrid Simulator-Based Mechanism and Data-Driven for Multidemand Dioxin Emissions Intelligent Prediction in the MSWI Process. IEEE Trans. Ind. Electron. 71(10): 13221-13231 (2024) - [j297]Gongming Wang, Yidi Zhao, Caixia Liu, Junfei Qiao:
Data-Driven Robust Adaptive Control With Deep Learning for Wastewater Treatment Process. IEEE Trans. Ind. Informatics 20(1): 149-157 (2024) - [j296]Heng Xia, Jian Tang, Wen Yu, Junfei Qiao:
Online Measurement of Dioxin Emission in Solid Waste Incineration Using Fuzzy Broad Learning. IEEE Trans. Ind. Informatics 20(1): 358-368 (2024) - [j295]Haixu Ding, Junfei Qiao, Weimin Huang, Tao Yu:
Cooperative Event-Triggered Fuzzy-Neural Multivariable Control With Multitask Learning for Municipal Solid Waste Incineration Process. IEEE Trans. Ind. Informatics 20(1): 765-774 (2024) - [j294]Ding Wang, Xin Li, Mingming Zhao, Junfei Qiao:
Adaptive Critic Control Design With Knowledge Transfer for Wastewater Treatment Applications. IEEE Trans. Ind. Informatics 20(2): 1488-1497 (2024) - [j293]Limin Quan, Xi Meng, Junfei Qiao:
Robust Self-Constructing Fuzzy Neural Network-Based Online Estimation for Industrial Product Quality. IEEE Trans. Ind. Informatics 20(2): 2213-2222 (2024) - [j292]Kang Li, Junfei Qiao, Dianhui Wang:
Online Self-Learning Stochastic Configuration Networks for Nonstationary Data Stream Analysis. IEEE Trans. Ind. Informatics 20(3): 3222-3231 (2024) - [j291]Junfei Qiao, Mingming Zhao, Ding Wang, Menghua Li:
Action-Dependent Heuristic Dynamic Programming With Experience Replay for Wastewater Treatment Processes. IEEE Trans. Ind. Informatics 20(4): 6257-6265 (2024) - [j290]Gongming Wang, Guanghui Yuan, Zhiqiang Hu, Yuanying Chi, Qing-Shan Jia, Junfei Qiao:
Complexity-Based Structural Optimization of Deep Belief Network and Application in Wastewater Treatment Process. IEEE Trans. Ind. Informatics 20(4): 6974-6982 (2024) - [j289]Hao-shan Duan, Xi Meng, Jian Tang, Junfei Qiao:
Dynamic System Modeling Using a Multisource Transfer Learning-Based Modular Neural Network for Industrial Application. IEEE Trans. Ind. Informatics 20(5): 7173-7182 (2024) - [j288]Honggui Han, Yucheng Liu, Junfei Qiao:
Mechanism-Data-Driven Multiobjective Optimization for Wastewater Treatment Process. IEEE Trans. Ind. Informatics 20(5): 7810-7819 (2024) - [j287]Honggui Han, Yumeng Xu, Zheng Liu, Haoyuan Sun, Junfei Qiao:
Knowledge-Data-Driven Robust Fault-Tolerant Control for Sludge Bulking in Wastewater Treatment Process. IEEE Trans. Ind. Informatics 20(8): 10280-10291 (2024) - [j286]Junfei Qiao, Dapeng Li, Honggui Han:
Neural Network-Based Adaptive Fault-Tolerant Control of Dissolved Oxygen and Nitrate Concentrations in WWTPs. IEEE Trans. Ind. Informatics 20(10): 12032-12040 (2024) - [j285]Gongming Wang, Hong Chen, Suling Jiang, Honggui Han, Junfei Qiao:
Neurodynamics-Driven Prediction Model for State Evolution of Coastal Water Quality. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [j284]Jiawei Ma, Huanqing Wang, Junfei Qiao:
Adaptive Neural Fixed-Time Tracking Control for High-Order Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 35(1): 708-717 (2024) - [j283]Dapeng Li, Hong-Gui Han, Jun-Fei Qiao:
Adaptive NN Controller of Nonlinear State-Dependent Constrained Systems With Unknown Control Direction. IEEE Trans. Neural Networks Learn. Syst. 35(1): 913-922 (2024) - [j282]Honggui Han, Hongxu Liu, Junfei Qiao:
Data-Knowledge-Driven Self-Organizing Fuzzy Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2081-2093 (2024) - [j281]Junfei Qiao, Menghua Li, Ding Wang:
Asymmetric Constrained Optimal Tracking Control With Critic Learning of Nonlinear Multiplayer Zero-Sum Games. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5671-5683 (2024) - [j280]Honggui Han, Chenxuan Sun, Xiaolong Wu, Hongyan Yang, Junfei Qiao:
Nonsingular Gradient Descent Algorithm for Interval Type-2 Fuzzy Neural Network. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8176-8189 (2024) - [j279]Ding Wang, Junlong Wu, Mingming Ha, Mingming Zhao, Menghua Li, Junfei Qiao:
Advanced Optimal Tracking Control With Stability Guarantee via Novel Value Learning Formulation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8254-8265 (2024) - [j278]Heng Xia, Jian Tang, Wen Yu, Junfei Qiao:
Tree Broad Learning System for Small Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8909-8923 (2024) - [j277]Junfei Qiao, Dapeng Li, Honggui Han:
Neural Network-Based Adaptive Tracking Control for Denitrification and Aeration Processes With Time Delays. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10687-10697 (2024) - [j276]Ding Wang, Mingming Zhao, Mingming Ha, Junfei Qiao:
Convergence and Stability of Optimal Regulation via Generalized N-Step Value Gradient Learning. IEEE Trans. Neural Networks Learn. Syst. 35(8): 10923-10934 (2024) - [j275]Ding Wang, Peng Xin, Mingming Zhao, Junfei Qiao:
Intelligent Optimal Control of Constrained Nonlinear Systems via Receding-Horizon Heuristic Dynamic Programming. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 287-299 (2024) - [j274]Weimin Huang, Haixu Ding, Junfei Qiao:
Large-Scale and Knowledge-Based Dynamic Multiobjective Optimization for MSWI Process Using Adaptive Competitive Swarm Optimization. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 379-390 (2024) - [j273]Yu Huo, Ding Wang, Menghua Li, Junfei Qiao:
Decentralized Event-Triggered Asymmetric Constrained Control Through Adaptive Critic Designs for Nonlinear Interconnected Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 391-402 (2024) - [j272]Junfei Qiao, Mingming Zhao, Ding Wang, Mingming Ha:
Adjustable Iterative Q-Learning Schemes for Model-Free Optimal Tracking Control. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 1202-1213 (2024) - [j271]Jian Sun, Xi Meng, Junfei Qiao:
Event-Based Data-Driven Adaptive Model Predictive Control for Nonlinear Dynamic Processes. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 1982-1994 (2024) - [j270]Zipeng Wang, Feng-Liang Zhao, Junfei Qiao, Huai-Ning Wu, Tingwen Huang:
Dynamic Intermittent Boundary Control for Reaction-Diffusion Systems Under Intermittent Noncollocated Boundary Measurement. IEEE Trans. Syst. Man Cybern. Syst. 54(5): 2884-2896 (2024) - [j269]Honggui Han, Yucheng Liu, Ying Hou, Junfei Qiao:
Data-Driven Robust Multimodal Multiobjective Particle Swarm Optimization. IEEE Trans. Syst. Man Cybern. Syst. 54(5): 3231-3243 (2024) - [j268]Dapeng Li, Hong-Gui Han, Jun-Fei Qiao:
Double-Layer Constraint Structure-Based Adaptive Neural Tracking Control for Nonlinear Strict-Feedback Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(7): 4042-4053 (2024) - [j267]Ding Wang, Haiming Huang, Derong Liu, Mingming Zhao, Junfei Qiao:
Evolution-Guided Adaptive Dynamic Programming for Nonlinear Optimal Control. IEEE Trans. Syst. Man Cybern. Syst. 54(10): 6043-6054 (2024) - [j266]Honggui Han, Yue Zhang, Haoyuan Sun, Zheng Liu, Junfei Qiao:
Data-Knowledge-Driven Multiobjective Integrated Optimal Control for Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(11): 6789-6801 (2024) - [c57]Guangwei Chen, Rafael Vázquez, Junfei Qiao, Miroslav Krstic:
Block Backstepping for Isotachic Hyperbolic PIDE-ODE Systems. ECC 2024: 816-821 - 2023
- [j265]Mingming Zhao, Ding Wang, Junfei Qiao, Mingming Ha, Jin Ren:
Advanced value iteration for discrete-time intelligent critic control: A survey. Artif. Intell. Rev. 56(10): 12315-12346 (2023) - [j264]Lijie Jia, Wenjing Li, Junfei Qiao:
An online adjusting RBF neural network for nonlinear system modeling. Appl. Intell. 53(1): 440-453 (2023) - [j263]Ting Shi, Wu Yang, Ailin Qi, Pengyu Li, Junfei Qiao:
LASSO and attention-TCN: a concurrent method for indoor particulate matter prediction. Appl. Intell. 53(17): 20076-20090 (2023) - [j262]Hao-shan Duan, Xi Meng, Jian Tang, Jun-Fei Qiao:
Time-series prediction using a regularized self-organizing long short-term memory neural network. Appl. Soft Comput. 145: 110553 (2023) - [j261]Xin Guo, Wen-jing Li, Jun-Fei Qiao:
A self-organizing modular neural network based on empirical mode decomposition with sliding window for time series prediction. Appl. Soft Comput. 145: 110559 (2023) - [j260]Hong-Gui Han, Shijia Fu, Haoyuan Sun, Chenhui Qin, Jun-Fei Qiao:
Modeling and control of wastewater treatment process with time delay based on event-triggered recursive least squares. Eng. Appl. Artif. Intell. 122: 106052 (2023) - [j259]Ding Wang, Xin Li, Lingzhi Hu, Junfei Qiao:
Data-driven tracking control design with reinforcement learning involving a wastewater treatment application. Eng. Appl. Artif. Intell. 123(Part A): 106242 (2023) - [j258]Xiaotong Pan, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao:
Combustion state identification of MSWI processes using ViT-IDFC. Eng. Appl. Artif. Intell. 126: 106893 (2023) - [j257]Yin Su, Cuili Yang, Junfei Qiao:
Self-organizing pipelined recurrent wavelet neural network for time series prediction. Expert Syst. Appl. 214: 119215 (2023) - [j256]Ding Wang, Jiangyu Wang, Mingming Zhao, Peng Xin, Junfei Qiao:
Adaptive Multi-Step Evaluation Design With Stability Guarantee for Discrete-Time Optimal Learning Control. IEEE CAA J. Autom. Sinica 10(9): 1797-1809 (2023) - [j255]Xu Zhang, Zipeng Wang, Huai-Ning Wu, Xiao-Wei Zhang, Han-Xiong Li, Junfei Qiao:
Robust Non-fragile H∞ Fuzzy Control for Uncertain Nonlinear-Delayed Hyperbolic PDE Systems. Int. J. Fuzzy Syst. 25(2): 851-867 (2023) - [j254]Honggui Han, Yucheng Liu, Linlin Zhang, Hongxu Liu, Hongyan Yang, Junfei Qiao:
Knowledge Reconstruction for Dynamic Multi-objective Particle Swarm Optimization Using Fuzzy Neural Network. Int. J. Fuzzy Syst. 25(5): 1853-1868 (2023) - [j253]Feng-Liang Zhao, Zipeng Wang, Huai-Ning Wu, Junfei Qiao, Xue-Hua Yan, Han-Xiong Li:
Robust Event-Triggered Sampled-Data Fuzzy Control with Non-fragile for Nonlinear Delayed Distributed Parameter Systems. Int. J. Fuzzy Syst. 25(6): 2312-2325 (2023) - [j252]Zipeng Wang, Xu Zhang, Junfei Qiao, Huai-Ning Wu, Tingwen Huang:
Synchronization of reaction-diffusion neural networks with random time-varying delay via intermittent boundary control. Neurocomputing 556: 126645 (2023) - [j251]Lingzhi Hu, Ding Wang, Jin Ren, Jiangyu Wang, Junfei Qiao:
An event-triggered neural critic technique for nonzero-sum game design with control constraints. Int. J. Syst. Sci. 54(2): 237-250 (2023) - [j250]Ding Wang, Wenqian Fan, Menghua Li, Junfei Qiao:
Decentralised tracking control based on critic learning for nonlinear disturbed interconnected systems. Int. J. Syst. Sci. 54(5): 1150-1164 (2023) - [j249]Honggui Han, Jiacheng Zhang, Hongyan Yang, Ying Hou, Junfei Qiao:
Data-driven robust optimal control for nonlinear system with uncertain disturbances. Inf. Sci. 621: 248-264 (2023) - [j248]Kang Li, Cuili Yang, Wei Wang, Junfei Qiao:
An improved stochastic configuration network for concentration prediction in wastewater treatment process. Inf. Sci. 622: 148-160 (2023) - [j247]Honggui Han, Linlin Zhang, A. Yinga, Junfei Qiao:
Adaptive multiple selection strategy for multi-objective particle swarm optimization. Inf. Sci. 624: 235-251 (2023) - [j246]Honggui Han, Yucheng Liu, Ying Hou, Junfei Qiao:
Multi-modal multi-objective particle swarm optimization with self-adjusting strategy. Inf. Sci. 629: 580-598 (2023) - [j245]Menghua Li, Ding Wang, Mingming Zhao, Junfei Qiao:
Event-triggered constrained neural critic control of nonlinear continuous-time multiplayer nonzero-sum games. Inf. Sci. 631: 412-428 (2023) - [j244]Xi Meng, Yin Zhang, Limin Quan, Junfei Qiao:
A self-organizing fuzzy neural network with hybrid learning algorithm for nonlinear system modeling. Inf. Sci. 642: 119145 (2023) - [j243]Haoyuan Sun, Hong-Gui Han, Jun-Fei Qiao:
Observer-based control for networked Takagi-Sugeno fuzzy systems with stochastic packet losses. Inf. Sci. 644: 119275 (2023) - [j242]Zipeng Wang, Feng-Liang Zhao, Huai-Ning Wu, Junfei Qiao, Tingwen Huang:
H∞ fuzzy intermittent boundary control for nonlinear parabolic distributed parameter systems. J. Frankl. Inst. 360(12): 8008-8036 (2023) - [j241]Canlin Cui, Jian Tang, Heng Xia, Junfei Qiao, Wen Yu:
Virtual sample generation method based on generative adversarial fuzzy neural network. Neural Comput. Appl. 35(9): 6979-7001 (2023) - [j240]Feng-Liang Zhao, Zipeng Wang, Junfei Qiao, Huai-Ning Wu, Tingwen Huang:
Adaptive event-triggered extended dissipative synchronization of delayed reaction-diffusion neural networks under deception attacks. Neural Networks 166: 366-378 (2023) - [j239]Jiangyu Wang, Ding Wang, Xin Li, Junfei Qiao:
Dichotomy value iteration with parallel learning design towards discrete-time zero-sum games. Neural Networks 167: 751-762 (2023) - [j238]Xin Guo, Wen-Jing Li, Junfei Qiao:
A modular neural network with empirical mode decomposition and multi-view learning for time series prediction. Soft Comput. 27(17): 12609-12624 (2023) - [j237]Hong-Gui Han, Lu Zhang, Junfei Qiao:
Dynamic Optimal Control for Wastewater Treatment Process Under Multiple Operating Conditions. IEEE Trans Autom. Sci. Eng. 20(3): 1907-1919 (2023) - [j236]Honggui Han, Shijia Fu, Haoyuan Sun, Junfei Qiao:
Data-Driven Multimodel Predictive Control for Multirate Sampled-Data Nonlinear Systems. IEEE Trans Autom. Sci. Eng. 20(3): 2182-2194 (2023) - [j235]Yu Huo, Ding Wang, Junfei Qiao, Menghua Li:
Off-Policy Model-Free Learning for Multi-Player Non-Zero-Sum Games With Constrained Inputs. IEEE Trans. Circuits Syst. I Regul. Pap. 70(2): 910-920 (2023) - [j234]Ding Wang, Junlong Wu, Lingzhi Hu, Junfei Qiao:
Discounted Near-Optimal Control of Affine Systems via a Progressive Cost Evolution Formulation. IEEE Trans. Circuits Syst. II Express Briefs 70(4): 1535-1539 (2023) - [j233]Anqi Fu, Sijia Chen, Junfei Qiao, Chengpu Yu:
Periodic Event-Triggered CACC and Communication Co-design for Vehicle Platooning. ACM Trans. Cyber Phys. Syst. 7(4): 28:1-28:19 (2023) - [j232]Mingming Zhao, Ding Wang, Mingming Ha, Junfei Qiao:
Evolving and Incremental Value Iteration Schemes for Nonlinear Discrete-Time Zero-Sum Games. IEEE Trans. Cybern. 53(7): 4487-4499 (2023) - [j231]Hao-Yuan Sun, Hong-Yan Yang, Hong-Gui Han, Jian Sun, Jun-Fei Qiao:
Consensus of MASs With Input and Communication Delays by Predictor-Based Protocol. IEEE Trans. Cybern. 53(11): 7126-7135 (2023) - [j230]Hong-Gui Han, Cong Chen, Hao-Yuan Sun, Jun-Fei Qiao:
Multiobjective Integrated Optimal Control for Nonlinear Systems. IEEE Trans. Cybern. 53(12): 7712-7722 (2023) - [j229]Honggui Han, Xing Bai, Ying Hou, Junfei Qiao:
Multitask Particle Swarm Optimization With Dynamic On-Demand Allocation. IEEE Trans. Evol. Comput. 27(4): 1015-1026 (2023) - [j228]Honggui Han, Xing Bai, Hongyan Yang, Ying Hou, Junfei Qiao:
Multitask Particle Swarm Optimization With Dynamic Transformation. IEEE Trans. Emerg. Top. Comput. 11(3): 749-763 (2023) - [j227]Haoyuan Sun, Hong-Gui Han, Jian Sun, Hong-Yan Yang, Jun-Fei Qiao:
Security Control of Sampled-Data T-S Fuzzy Systems Subject to Cyberattacks and Successive Packet Losses. IEEE Trans. Fuzzy Syst. 31(4): 1178-1188 (2023) - [j226]Zheng Liu, Honggui Han, Hongyan Yang, Junfei Qiao:
Knowledge-Aided and Data-Driven Fuzzy Decision Making for Sludge Bulking. IEEE Trans. Fuzzy Syst. 31(4): 1189-1201 (2023) - [j225]Honggui Han, Chenxuan Sun, Xiaolong Wu, Hongyan Yang, Junfei Qiao:
Self-Organizing Interval Type-2 Fuzzy Neural Network With Adaptive Discriminative Strategy. IEEE Trans. Fuzzy Syst. 31(6): 1925-1939 (2023) - [j224]Zipeng Wang, Xu Zhang, Huai-Ning Wu, Mohammed Chadli, Tingwen Huang, Junfei Qiao:
Dynamic Fuzzy Boundary Output Feedback Control for Nonlinear Delayed Parabolic Partial Differential Equation Systems Under Noncollocated Boundary Measurement. IEEE Trans. Fuzzy Syst. 31(6): 2006-2017 (2023) - [j223]Heng Xia, Jian Tang, Wen Yu, Canlin Cui, Junfei Qiao:
Takagi-Sugeno Fuzzy Regression Trees With Application to Complex Industrial Modeling. IEEE Trans. Fuzzy Syst. 31(7): 2210-2224 (2023) - [j222]Qian-Qian Li, Zipeng Wang, Tingwen Huang, Huai-Ning Wu, Han-Xiong Li, Junfei Qiao:
Fault-Tolerant Stochastic Sampled-Data Fuzzy Control for Nonlinear Delayed Parabolic PDE Systems. IEEE Trans. Fuzzy Syst. 31(8): 2679-2693 (2023) - [j221]Hong-Gui Han, Chen-Yang Wang, Haoyuan Sun, Hong-Yan Yang, Junfei Qiao:
Iterative Learning Model Predictive Control With Fuzzy Neural Network for Nonlinear Systems. IEEE Trans. Fuzzy Syst. 31(9): 3220-3234 (2023) - [j220]Honggui Han, Chenhui Qin, Haoyuan Sun, Hongyan Yang, Junfei Qiao:
Piecewise Sliding-Mode Control for Sludge Bulking Under Multiple Operating Conditions. IEEE Trans. Ind. Informatics 19(3): 2876-2885 (2023) - [j219]Honggui Han, Jiacheng Zhang, Ying Hou, Junfei Qiao:
Robust Optimal Control for Wastewater Treatment Process With Uncertain Time Delays. IEEE Trans. Ind. Informatics 19(4): 5785-5796 (2023) - [j218]Zheng Liu, Honggui Han, Hongyan Yang, Junfei Qiao:
Design of Broad Learning-Based Self-Healing Predictive Control for Sludge Bulking in Wastewater Treatment Process. IEEE Trans. Ind. Informatics 19(4): 6220-6233 (2023) - [j217]Gongming Wang, Jing Bi, Qing-Shan Jia, Junfei Qiao, Lei Wang:
Event-Driven Model Predictive Control With Deep Learning for Wastewater Treatment Process. IEEE Trans. Ind. Informatics 19(5): 6398-6407 (2023) - [j216]Junfei Qiao, Yin Su, Cuili Yang:
Online-Growing Neural Network Control for Dissolved Oxygen Concentration. IEEE Trans. Ind. Informatics 19(5): 6794-6803 (2023) - [j215]Junfei Qiao, Zijian Sun, Xi Meng:
A Comprehensively Improved Interval Type-2 Fuzzy Neural Network for NOx Emissions Prediction in MSWI Process. IEEE Trans. Ind. Informatics 19(11): 11286-11297 (2023) - [j214]Jian Sun, Xi Meng, Junfei Qiao:
Data-Driven Optimal Control for Municipal Solid Waste Incineration Process. IEEE Trans. Ind. Informatics 19(12): 11444-11454 (2023) - [j213]Canlin Cui, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao:
Multiscale Modeling Using GAN and Deep Forest Regression With Application to Dioxin Emission Soft Sensor. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j212]Junfei Qiao, Jianglong Zhou, Xi Meng:
A Multitask Learning Model for the Prediction of NOx Emissions in Municipal Solid Waste Incineration Processes. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [j211]Chaofan Xu, Jian Tang, Heng Xia, Wen Yu, Junfei Qiao:
Dioxin Emission Concentration Prediction Using the Selective Ensemble Algorithm Based on Bayesian Inference and Binary Tree. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [j210]Cuili Yang, Sheng Yang, Jian Tang, Junfei Qiao, Wen Yu:
Evolving Deep Delay Echo State Network for Effluent NH4-N Prediction in Wastewater Treatment Plants. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j209]Shengli Du, Qiushuo Yan, Junfei Qiao:
Robust secure consensus of multiagent systems with DoS attacks. Trans. Inst. Meas. Control 45(3): 393-399 (2023) - [j208]Honggui Han, Mengmeng Li, Junfei Qiao, Qing Yang, Yongzhen Peng:
Filter Transfer Learning Algorithm for Missing Data Imputation in Wastewater Treatment Process. IEEE Trans. Knowl. Data Eng. 35(12): 12649-12662 (2023) - [j207]Shengli Du, Wenying Xu, Junfei Qiao, Daniel W. C. Ho:
Resilient Output Synchronization of Heterogeneous Multiagent Systems With DoS Attacks Under Distributed Event-/Self-Triggered Control. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1169-1178 (2023) - [j206]Dapeng Li, Honggui Han, Junfei Qiao:
Deterministic Learning-Based Adaptive Neural Control for Nonlinear Full-State Constrained Systems. IEEE Trans. Neural Networks Learn. Syst. 34(8): 5002-5011 (2023) - [j205]Jun Fu, Junfei Qiao, Kok Lay Teo, Rolf Findeisen:
Guest Editorial: Special Issue on Theory, Algorithms, and Applications for Hybrid Intelligent Dynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5231-5233 (2023) - [j204]Ding Wang, Lingzhi Hu, Mingming Zhao, Junfei Qiao:
Adaptive Critic for Event-Triggered Unknown Nonlinear Optimal Tracking Design With Wastewater Treatment Applications. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6276-6288 (2023) - [j203]Honggui Han, Chenxuan Sun, Xiaolong Wu, Hongyan Yang, Junfei Qiao:
Self-Organizing Interval Type-2 Fuzzy Neural Network Using Information Aggregation Method. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6428-6442 (2023) - [j202]Ding Wang, Jin Ren, Mingming Ha, Junfei Qiao:
System Stability of Learning-Based Linear Optimal Control With General Discounted Value Iteration. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6504-6514 (2023) - [j201]Honggui Han, Hongxu Liu, Cuili Yang, Junfei Qiao:
Transfer Learning Algorithm With Knowledge Division Level. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8602-8616 (2023) - [j200]Ding Wang, Mingming Zhao, Mingming Ha, Junfei Qiao:
Stability and Admissibility Analysis for Zero-Sum Games Under General Value Iteration Formulation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8707-8718 (2023) - [j199]Ruiyao Zhang, Ping Zhou, Junfei Qiao:
Anomaly Detection of Nonstationary Long-Memory Processes Based on Fractional Cointegration Vector Autoregression. IEEE Trans. Reliab. 72(4): 1383-1394 (2023) - [j198]Ding Wang, Lingzhi Hu, Mingming Zhao, Junfei Qiao:
Dual Event-Triggered Constrained Control Through Adaptive Critic for Discrete-Time Zero-Sum Games. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1584-1595 (2023) - [j197]Honggui Han, Shijia Fu, Haoyuan Sun, Junfei Qiao:
Data-Driven Model-Predictive Control for Nonlinear Systems With Stochastic Sampling Interval. IEEE Trans. Syst. Man Cybern. Syst. 53(5): 3019-3030 (2023) - [j196]Shengli Du, Hong Sheng, Daniel W. C. Ho, Junfei Qiao:
Secure Consensus of Multiagent Systems With DoS Attacks via Fully Distributed Dynamic Event-Triggered Control. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6588-6597 (2023) - [j195]Ding Wang, Junlong Wu, Jin Ren, Peng Xin, Junfei Qiao:
Novel Discounted Optimal Tracking Design Under Offline and Online Formulations for Asymmetric Constrained Systems. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 6886-6896 (2023) - [c56]Rafael Vázquez, Guangwei Chen, Junfei Qiao, Miroslav Krstic:
The Power Series Method to Compute Backstepping Kernel Gains: Theory and Practice. CDC 2023: 8162-8169 - [c55]Jing Bi, Jiahui Zhai, Haitao Yuan, Ziqi Wang, Junfei Qiao, Jia Zhang, MengChu Zhou:
Multi-swarm Genetic Gray Wolf Optimizer with Embedded Autoencoders for High-dimensional Expensive Problems. ICRA 2023: 7265-7271 - [c54]Jing Bi, Ziqi Wang, Haitao Yuan, Junfei Qiao, Jia Zhang, MengChu Zhou:
Self-adaptive Teaching-learning-based Optimizer with Improved RBF and Sparse Autoencoder for Complex Optimization Problems. ICRA 2023: 7966-7972 - [c53]Jing Bi, Yibo Li, Xingyang Chang, Haitao Yuan, Junfei Qiao:
Hybrid Water Quality Prediction with Frequency Domain Conversion Enhancement and Seasonal Decomposition. SMC 2023: 5200-5205 - [c52]Jing Bi, Mingxing Yuan, Haitao Yuan, Junfei Qiao:
Multi-Step Water Quality Prediction with Series Decomposition and Auto-Correlation. SMC 2023: 5206-5211 - [i2]Guangwei Chen, Rafael Vázquez, Junfei Qiao, Miroslav Krstic:
Block Backstepping for Isotachic Hyperbolic PDEs and Multilayer Timoshenko Beams. CoRR abs/2310.11416 (2023) - 2022
- [j194]Gongming Wang, Qing-Shan Jia, MengChu Zhou, Jing Bi, Junfei Qiao, Abdullah Abusorrah:
Artificial neural networks for water quality soft-sensing in wastewater treatment: a review. Artif. Intell. Rev. 55(1): 565-587 (2022) - [j193]Lei Wang, Zhong Su, Junfei Qiao, Feng Deng:
A pseudo-inverse decomposition-based self-organizing modular echo state network for time series prediction. Appl. Soft Comput. 116: 108317 (2022) - [j192]Yingying Cui, Xi Meng, Junfei Qiao:
A multi-objective particle swarm optimization algorithm based on two-archive mechanism. Appl. Soft Comput. 119: 108532 (2022) - [j191]Yin Su, Cuili Yang, Junfei Qiao:
Effluent ammonia nitrogen prediction using a phase space reconstruction method combining pipelined recurrent wavelet neural network. Appl. Soft Comput. 120: 108602 (2022) - [j190]Meng Li, Wenjing Li, Junfei Qiao:
Design of a modular neural network based on an improved soft subspace clustering algorithm. Expert Syst. Appl. 209: 118219 (2022) - [j189]Xiao-Long Wu, Hong-Gui Han, Hui-Juan Zhang, Junfei Qiao:
Intelligent Warning of Membrane Fouling Based on Robust Deep Neural Network. Int. J. Fuzzy Syst. 24(1): 276-293 (2022) - [j188]Hong-Gui Han, Miao-Li Ma, Hong-Yan Yang, Junfei Qiao:
Self-organizing radial basis function neural network using accelerated second-order learning algorithm. Neurocomputing 469: 1-12 (2022) - [j187]Menghua Li, Ding Wang, Junfei Qiao:
Neural critic learning for tracking control design of constrained nonlinear multi-person zero-sum games. Neurocomputing 512: 456-465 (2022) - [j186]Cuili Yang, Kaizhe Nie, Junfei Qiao, Danlei Wang:
Robust echo state network with sparse online learning. Inf. Sci. 594: 95-117 (2022) - [j185]Honggui Han, Cong Chen, Haoyuan Sun, Shengli Du, Junfei Qiao:
Multi-objective model predictive control with gradient eigenvector algorithm. Inf. Sci. 601: 114-128 (2022) - [j184]Shengli Du, Jiangtao Dong, Xu Li, Junfei Qiao:
Stability and stabilization for switched positive systems under a weighted MDADT method. J. Frankl. Inst. 359(8): 3656-3670 (2022) - [j183]Wenjing Li, Xiaoxiao Wang, Honggui Han, Junfei Qiao:
A PLS-based pruning algorithm for simplified long-short term memory neural network in time series prediction. Knowl. Based Syst. 254: 109608 (2022) - [j182]Heng Xia, Jian Tang, Junfei Qiao, Jian Zhang, Wen Yu:
DF classification algorithm for constructing a small sample size of data-oriented DF regression model. Neural Comput. Appl. 34(4): 2785-2810 (2022) - [j181]Haijun He, Xi Meng, Jian Tang, Junfei Qiao:
A novel self-organizing TS fuzzy neural network for furnace temperature prediction in MSWI process. Neural Comput. Appl. 34(12): 9759-9776 (2022) - [j180]Hongye Zhang, Cuili Yang, Junfei Qiao:
Emotional Neural Network Based on Improved CLPSO Algorithm For Time Series Prediction. Neural Process. Lett. 54(2): 1131-1154 (2022) - [j179]Gongming Wang, Junfei Qiao, Caixia Liu, Zhaoxu Shen:
How Deep Is Deep Enough for Deep Belief Network for Approximating Model Predictive Control Law. IEEE Trans Autom. Sci. Eng. 19(3): 2067-2078 (2022) - [j178]Shengli Du, Qiushuo Yan, Lijing Dong, Junfei Qiao:
Secure Consensus of Multiagent Systems With Input Saturation and Distributed Multiple DoS Attacks. IEEE Trans. Circuits Syst. II Express Briefs 69(4): 2246-2250 (2022) - [j177]Ding Wang, Junlong Wu, Jin Ren, Junfei Qiao:
Online Value Iteration for Intelligent Discounted Tracking Design of Constrained Systems. IEEE Trans. Circuits Syst. II Express Briefs 69(9): 3829-3833 (2022) - [j176]Honggui Han, Hongxu Liu, Junfei Qiao:
Knowledge-Data-Driven Flexible Switching Control for Wastewater Treatment Process. IEEE Trans. Control. Syst. Technol. 30(3): 1116-1129 (2022) - [j175]Ding Wang, Junfei Qiao, Long Cheng:
An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design. IEEE Trans. Cybern. 52(1): 77-86 (2022) - [j174]Honggui Han, Zheng Liu, Hongxu Liu, Junfei Qiao, C. L. Philip Chen:
Type-2 Fuzzy Broad Learning System. IEEE Trans. Cybern. 52(10): 10352-10363 (2022) - [j173]Dapeng Li, Honggui Han, Junfei Qiao:
Observer-Based Adaptive Fuzzy Control for Nonlinear State-Constrained Systems Without Involving Feasibility Conditions. IEEE Trans. Cybern. 52(11): 11724-11733 (2022) - [j172]Honggui Han, Xing Bai, Huayun Han, Ying Hou, Junfei Qiao:
Self-Adjusting Multitask Particle Swarm Optimization. IEEE Trans. Evol. Comput. 26(1): 145-158 (2022) - [j171]Yingbo Xie, Shengxiang Yang, Ding Wang, Junfei Qiao, Baocai Yin:
Dynamic Transfer Reference Point-Oriented MOEA/D Involving Local Objective-Space Knowledge. IEEE Trans. Evol. Comput. 26(3): 542-554 (2022) - [j170]Wei Li, Junfei Qiao, Xiao-Jun Zeng:
Online and Self-Learning Approach to the Identification of Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 30(3): 649-662 (2022) - [j169]Honggui Han, Hongxu Liu, Zheng Liu, Junfei Qiao:
Interactive Transfer Learning-Assisted Fuzzy Neural Network. IEEE Trans. Fuzzy Syst. 30(6): 1900-1913 (2022) - [j168]Gongming Wang, Junfei Qiao:
An Efficient Self-Organizing Deep Fuzzy Neural Network for Nonlinear System Modeling. IEEE Trans. Fuzzy Syst. 30(7): 2170-2182 (2022) - [j167]Honggui Han, Zheng Liu, Jiaming Li, Junfei Qiao:
Design of Syncretic Fuzzy-Neural Control for WWTP. IEEE Trans. Fuzzy Syst. 30(8): 2837-2849 (2022) - [j166]Honggui Han, Chenxuan Sun, Xiaolong Wu, Hongyan Yang, Junfei Qiao:
Training Fuzzy Neural Network via Multiobjective Optimization for Nonlinear Systems Identification. IEEE Trans. Fuzzy Syst. 30(9): 3574-3588 (2022) - [j165]Ruyue Yang, Ding Wang, Junfei Qiao:
Policy Gradient Adaptive Critic Design With Dynamic Prioritized Experience Replay for Wastewater Treatment Process Control. IEEE Trans. Ind. Informatics 18(5): 3150-3158 (2022) - [j164]Xi Meng, Jian Tang, Junfei Qiao:
NOx Emissions Prediction With a Brain-Inspired Modular Neural Network in Municipal Solid Waste Incineration Processes. IEEE Trans. Ind. Informatics 18(7): 4622-4631 (2022) - [j163]Nan Guo, Ke Gu, Junfei Qiao, Hantao Liu:
Active Vision for Deep Visual Learning: A Unified Pooling Framework. IEEE Trans. Ind. Informatics 18(10): 6610-6618 (2022) - [j162]Ke Gu, Hongyan Liu, Jing Liu, Xiaofeng Yu, Ting Shi, Junfei Qiao:
Air Pollution Prediction in Mass Rallies With a New Temporally-Weighted Sample-Based Multitask Learner. IEEE Trans. Instrum. Meas. 71: 1-15 (2022) - [j161]Ke Gu, Jing Liu, Shuang Shi, Shuangyi Xie, Ting Shi, Junfei Qiao:
Self-Organizing Multichannel Deep Learning System for River Turbidity Monitoring. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j160]Zhonglin Chen, Cuili Yang, Junfei Qiao:
The optimal design and application of LSTM neural network based on the hybrid coding PSO algorithm. J. Supercomput. 78(5): 7227-7259 (2022) - [c51]Ting Shi, Pengyu Li, Wu Yang, Ailin Qi, Junfei Qiao:
Research on Air Quality Monitoring System Based on STM32 Single Chip Microcomputer. ISPACS 2022: 1-4 - [c50]Jing Bi, Chunhui Zhang, Haitao Yuan, Ziyue Guan, Junfei Qiao:
Multi-indicator Water Quality Prediction with ProbSparse Self-attention and Generative Decoder. SMC 2022: 178-183 - [c49]Jing Bi, Kun Ni, Haitao Yuan, Junfei Qiao:
LBPSC: A Hybrid Prediction Model for Chinese Named Entity Recognition in Water Environment. SMC 2022: 223-228 - [c48]Yongze Lin, Junfei Qiao, Jing Bi, Haitao Yuan, Han Gao, MengChu Zhou:
Hybrid Water Quality Prediction with Graph Attention and Spatio-Temporal Fusion. SMC 2022: 1419-1424 - [c47]Luyao Zhang, Jing Bi, Haitao Yuan, Jun Zhang, Junfei Qiao:
Hybrid Water Quality Prediction with Bidirectional Long Short-Term Memory and Encoder-Decoder. SMC 2022: 1997-2002 - [c46]Jing Bi, Zichao Wang, Haitao Yuan, Kun Ni, Junfei Qiao:
Multi-indicator Water Time Series Imputation with Autoregressive Generative Adversarial Networks. SMC 2022: 2003-2008 - [c45]Jing Bi, Zexian Chen, Haitao Yuan, Yongze Lin, Junfei Qiao:
Hybrid Prediction for Water Quality with Bidirectional LSTM and Temporal Attention. SMC 2022: 2009-2014 - [c44]Jing Bi, Jun Zhang, Haitao Yuan, Junfei Qiao:
Integrated Spatio-Temporal Prediction for Water Quality with Graph Attention Network and WaveNet. SMC 2022: 2551-2556 - 2021
- [j159]Junfei Qiao, Longyang Wang:
Nonlinear system modeling and application based on restricted Boltzmann machine and improved BP neural network. Appl. Intell. 51(1): 37-50 (2021) - [j158]Nan Guo, Kexin Di, Hongyan Liu, Yifei Wang, Junfei Qiao:
A metric-based meta-learning approach combined attention mechanism and ensemble learning for few-shot learning. Displays 70: 102065 (2021) - [j157]Hong-Gui Han, Qian Zhang, Zheng Liu, Junfei Qiao:
Knowledge-Based Fuzzy Broad Learning Algorithm for Warning Membrane Fouling. Int. J. Fuzzy Syst. 23(1): 13-26 (2021) - [j156]Gongming Wang, Qing-Shan Jia, MengChu Zhou, Jing Bi, Junfei Qiao:
Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning. Neurocomputing 436: 103-113 (2021) - [j155]Hong-Gui Han, Miaoli Ma, Junfei Qiao:
Accelerated gradient algorithm for RBF neural network. Neurocomputing 441: 237-247 (2021) - [j154]Ke Xu, Huanqing Wang, Qiang Zhang, Ming Chen, Junfei Qiao, Ben Niu:
Command-filter-based adaptive neural tracking control for strict-feedback stochastic nonlinear systems with input dead-zone. Int. J. Syst. Sci. 52(11): 2283-2297 (2021) - [j153]Yingbo Xie, Junfei Qiao, Ding Wang, Baocai Yin:
A novel decomposition-based multiobjective evolutionary algorithm using improved multiple adaptive dynamic selection strategies. Inf. Sci. 556: 472-494 (2021) - [j152]Haixu Ding, Wen-Jing Li, Junfei Qiao:
A self-organizing recurrent fuzzy neural network based on multivariate time series analysis. Neural Comput. Appl. 33(10): 5089-5109 (2021) - [j151]Lei Wang, Zhong Su, Junfei Qiao, Cuili Yang:
Design of sparse Bayesian echo state network for time series prediction. Neural Comput. Appl. 33(12): 7089-7102 (2021) - [j150]Jian Tang, Heng Xia, Jian Zhang, Junfei Qiao, Wen Yu:
Deep forest regression based on cross-layer full connection. Neural Comput. Appl. 33(15): 9307-9328 (2021) - [j149]Xi Meng, Yin Zhang, Junfei Qiao:
An adaptive task-oriented RBF network for key water quality parameters prediction in wastewater treatment process. Neural Comput. Appl. 33(17): 11401-11414 (2021) - [j148]Nan Guo, Ke Gu, Junfei Qiao, Jing Bi:
Improved deep CNNs based on Nonlinear Hybrid Attention Module for image classification. Neural Networks 140: 158-166 (2021) - [j147]Qili Chen, Jiuhe Wang, Junfei Qiao, Yi Ming Zou:
Optimizations on unknown low-dimensional structures given by high-dimensional data. Soft Comput. 25(20): 12717-12723 (2021) - [j146]Sanyi Li, Shengxiang Yang, Yanfeng Wang, Weichao Yue, Junfei Qiao:
A modular neural network-based population prediction strategy for evolutionary dynamic multi-objective optimization. Swarm Evol. Comput. 62: 100829 (2021) - [j145]Liguo Zhang, Xiaoli Li, Jianru Hao, Junfei Qiao:
Boundary Observer Design for Stochastic Phase Transition Models of Nonequilibrium Traffic Flow. IEEE Trans. Autom. Control. 66(10): 4828-4835 (2021) - [j144]Huanqing Wang, Ke Xu, Peter Xiaoping Liu, Junfei Qiao:
Adaptive Fuzzy Fast Finite-Time Dynamic Surface Tracking Control for Nonlinear Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 68(10): 4337-4348 (2021) - [j143]Hong-Gui Han, Zheng Liu, Wei Lu, Ying Hou, Junfei Qiao:
Dynamic MOPSO-Based Optimal Control for Wastewater Treatment Process. IEEE Trans. Cybern. 51(5): 2518-2528 (2021) - [j142]Hong-Gui Han, Lu Zhang, Lin-Lin Zhang, Zheng He, Junfei Qiao:
Cooperative Optimal Controller and Its Application to Activated Sludge Process. IEEE Trans. Cybern. 51(8): 3938-3951 (2021) - [j141]Ding Wang, Mingming Ha, Junfei Qiao:
Data-Driven Iterative Adaptive Critic Control Toward an Urban Wastewater Treatment Plant. IEEE Trans. Ind. Electron. 68(8): 7362-7369 (2021) - [j140]Ke Gu, Yonghui Zhang, Junfei Qiao:
Ensemble Meta-Learning for Few-Shot Soot Density Recognition. IEEE Trans. Ind. Informatics 17(3): 2261-2270 (2021) - [j139]Honggui Han, Hongxu Liu, Jiaming Li, Junfei Qiao:
Cooperative Fuzzy-Neural Control for Wastewater Treatment Process. IEEE Trans. Ind. Informatics 17(9): 5971-5981 (2021) - [j138]Jian Sun, Xi Meng, Junfei Qiao:
Prediction of Oxygen Content Using Weighted PCA and Improved LSTM Network in MSWI Process. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j137]Xiao-Long Wu, Honggui Han, Junfei Qiao:
Data-Driven Intelligent Warning Method for Membrane Fouling. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3318-3329 (2021) - [j136]Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, MengChu Zhou:
Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3643-3652 (2021) - [j135]Ke Gu, Hongyan Liu, Zhifang Xia, Junfei Qiao, Weisi Lin, Daniel Thalmann:
PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4278-4290 (2021) - [j134]Shengli Du, Junfei Qiao, Daniel W. C. Ho, Lijun Zhu:
Fixed-Time Cooperative Relay Tracking in Multiagent Surveillance Networks. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 487-496 (2021) - [j133]Honggui Han, Lu Zhang, Hong-Xu Liu, Cuili Yang, Junfei Qiao:
Intelligent Optimal Control System With Flexible Objective Functions and Its Applications in Wastewater Treatment Process. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3464-3476 (2021) - [j132]Honggui Han, Zheng Liu, Hongxu Liu, Junfei Qiao:
Knowledge-Data-Driven Model Predictive Control for a Class of Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4492-4504 (2021) - [j131]Jingyao Wang, Junfei Qiao, Guanghui Wen, Zhisheng Duan, Tingwen Huang:
Rendezvous of Heterogeneous Multiagent Systems With Nonuniform Time-Varying Information Delays: An Adaptive Approach. IEEE Trans. Syst. Man Cybern. Syst. 51(8): 4848-4857 (2021) - 2020
- [j130]Ding Wang, Mingming Ha, Junfei Qiao, Jun Yan, Yingbo Xie:
Data-based composite control design with critic intelligence for a wastewater treatment platform. Artif. Intell. Rev. 53(5): 3773-3785 (2020) - [j129]Junfei Qiao, Limin Quan, Cuili Yang:
Design of modeling error PDF based fuzzy neural network for effluent ammonia nitrogen prediction. Appl. Soft Comput. 91: 106239 (2020) - [j128]Junfei Qiao, Xin Guo, Wen-Jing Li:
An online self-organizing modular neural network for nonlinear system modeling. Appl. Soft Comput. 97(Part): 106777 (2020) - [j127]Wei Li, Junfei Qiao, Xiao-Jun Zeng, Shengli Du:
Identification and simplification of T-S fuzzy neural networks based on incremental structure learning and similarity analysis. Fuzzy Sets Syst. 394: 65-86 (2020) - [j126]Junfei Qiao, Fei Li, Cuili Yang, Wenjing Li, Ke Gu:
A self-organizing RBF neural network based on distance concentration immune algorithm. IEEE CAA J. Autom. Sinica 7(1): 276-291 (2020) - [j125]Hong-Gui Han, Hui-Juan Zhang, Junfei Qiao:
Robust Deep Neural Network Using Fuzzy Denoising Autoencoder. Int. J. Fuzzy Syst. 22(4): 1356-1375 (2020) - [j124]Ying-Xu Wang, Hong-Gui Han, Min Guo, Junfei Qiao:
A self-organizing deep belief network based on information relevance strategy. Neurocomputing 396: 241-253 (2020) - [j123]Cuili Yang, Xinxin Zhu, Junfei Qiao, Kaizhe Nie:
Forward and backward input variable selection for polynomial echo state networks. Neurocomputing 398: 83-94 (2020) - [j122]Wenjing Li, Meng Li, Junkai Zhang, Junfei Qiao:
Design of a self-organizing reciprocal modular neural network for nonlinear system modeling. Neurocomputing 411: 327-339 (2020) - [j121]Junfei Qiao, Fei Li, Shengxiang Yang, Cuili Yang, Wenjing Li, Ke Gu:
An adaptive hybrid evolutionary immune multi-objective algorithm based on uniform distribution selection. Inf. Sci. 512: 446-470 (2020) - [j120]Cuili Yang, Kaizhe Nie, Junfei Qiao, Bing Li:
Design of Extreme Learning Machine with Smoothed ℓ 0 Regularization. Mob. Networks Appl. 25(6): 2434-2446 (2020) - [j119]Junfei Qiao, Xi Meng, Wen-Jing Li, Bogdan M. Wilamowski:
A novel modular RBF neural network based on a brain-like partition method. Neural Comput. Appl. 32(3): 899-911 (2020) - [j118]Junfei Qiao, Xin Guo, Wen-Jing Li:
An online self-organizing algorithm for feedforward neural network. Neural Comput. Appl. 32(23): 17505-17518 (2020) - [j117]Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, Caixia Liu:
A sparse deep belief network with efficient fuzzy learning framework. Neural Networks 121: 430-440 (2020) - [j116]Wenjing Li, Minghui Chu, Junfei Qiao:
A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling. Neural Networks 130: 269-285 (2020) - [j115]Liguo Zhang, Christophe Prieur, Junfei Qiao:
Local Proportional-Integral Boundary Feedback Stabilization for Quasilinear Hyperbolic Systems of Balance Laws. SIAM J. Control. Optim. 58(4): 2143-2170 (2020) - [j114]Ding Wang, Mingming Ha, Junfei Qiao:
Self-Learning Optimal Regulation for Discrete-Time Nonlinear Systems Under Event-Driven Formulation. IEEE Trans. Autom. Control. 65(3): 1272-1279 (2020) - [j113]Ke Gu, Junfei Qiao, Sanghoon Lee, Hantao Liu, Weisi Lin, Patrick Le Callet:
Multiscale Natural Scene Statistical Analysis for No-Reference Quality Evaluation of DIBR-Synthesized Views. IEEE Trans. Broadcast. 66(1): 127-139 (2020) - [j112]Ke Gu, Xin Xu, Junfei Qiao, Qiuping Jiang, Weisi Lin, Daniel Thalmann:
Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances. IEEE Trans. Big Data 6(4): 780-791 (2020) - [j111]Xiao-Long Wu, Honggui Han, Zheng Liu, Junfei Qiao:
Data-Knowledge-Based Fuzzy Neural Network for Nonlinear System Identification. IEEE Trans. Fuzzy Syst. 28(9): 2209-2221 (2020) - [j110]Honggui Han, Zheng Liu, Ying Hou, Junfei Qiao:
Data-Driven Multiobjective Predictive Control for Wastewater Treatment Process. IEEE Trans. Ind. Informatics 16(4): 2767-2775 (2020) - [j109]Ke Gu, Zhifang Xia, Junfei Qiao:
Stacked Selective Ensemble for PM2.5 Forecast. IEEE Trans. Instrum. Meas. 69(3): 660-671 (2020) - [j108]Ke Gu, Yonghui Zhang, Junfei Qiao:
Vision-Based Monitoring of Flare Soot. IEEE Trans. Instrum. Meas. 69(9): 7136-7145 (2020) - [j107]Ke Gu, Yonghui Zhang, Junfei Qiao:
Random Forest Ensemble for River Turbidity Measurement From Space Remote Sensing Data. IEEE Trans. Instrum. Meas. 69(11): 9028-9036 (2020) - [j106]Ke Gu, Zhifang Xia, Junfei Qiao, Weisi Lin:
Deep Dual-Channel Neural Network for Image-Based Smoke Detection. IEEE Trans. Multim. 22(2): 311-323 (2020) - [j105]Gongming Wang, Junfei Qiao, Jing Bi, Qing-Shan Jia, MengChu Zhou:
An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4217-4228 (2020) - [j104]Honggui Han, Xiao-Long Wu, Junfei Qiao:
Design of Robust Sliding Mode Control With Adaptive Reaching Law. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4415-4424 (2020) - [c43]Lijie Jia, Wenjing Li, Junfei Qiao:
Design of RBF Neural Network Based on Improved Canopy-K-means algorithm. HPCCT/BDAI 2020: 58-63 - [c42]Xuemeng Li, Wei Chai, Tong Liu, Junfei Qiao:
Fault detection of dissolved oxygen sensor in wastewater treatment plants. IECON 2020: 225-230 - [c41]Xi Meng, Limin Quan, Junfei Qiao:
A Self-Organizing Modular Neural Network for Nonlinear System Modeling. IJCNN 2020: 1-8 - [c40]Cuili Yang, Zhanhong Wu, Junfei Qiao:
Design of Echo State Network with Coordinate Descent Method and l1 Regularization. NCAA 2020: 357-367
2010 – 2019
- 2019
- [j103]Chang Peng, Junfei Qiao, Xiangyu Zhang, Ruiwei Lu:
Phase Partition and Fault Diagnosis of Batch Process Based on KECA Angular Similarity. IEEE Access 7: 125676-125687 (2019) - [j102]Hongbiao Zhou, Junfei Qiao:
Multiobjective optimal control for wastewater treatment process using adaptive MOEA/D. Appl. Intell. 49(3): 1098-1126 (2019) - [j101]Junfei Qiao, Hongbiao Zhou, Cuili Yang, Shengxiang Yang:
A decomposition-based multiobjective evolutionary algorithm with angle-based adaptive penalty. Appl. Soft Comput. 74: 190-205 (2019) - [j100]Liguo Zhang, Jianru Hao, Junfei Qiao:
Input-to-state stability of coupled hyperbolic PDE-ODE systems via boundary feedback control. Sci. China Inf. Sci. 62(4): 42201:1-42201:12 (2019) - [j99]Hong-Gui Han, Zheng Liu, Junfei Qiao:
Fuzzy Neural Network-Based Model Predictive Control for Dissolved Oxygen Concentration of WWTPs. Int. J. Fuzzy Syst. 21(5): 1497-1510 (2019) - [j98]Hong-Gui Han, Jia-Ming Li, Xiao-Long Wu, Junfei Qiao:
Cooperative strategy for constructing interval type-2 fuzzy neural network. Neurocomputing 365: 249-260 (2019) - [j97]Yanlin He, Xu Zhang, Lianqing Zhu, Guangkai Sun, Junfei Qiao:
Design and Implementation of the Visual Detection System for amphibious robots. Int. J. Robotics Autom. 34(4) (2019) - [j96]Junfei Qiao, Guangyuan Pan, Honggui Han:
A regularization-reinforced DBN for digital recognition. Nat. Comput. 18(4): 721-733 (2019) - [j95]Junfei Qiao, Ying Hou, Hong-Gui Han:
Optimal control for wastewater treatment process based on an adaptive multi-objective differential evolution algorithm. Neural Comput. Appl. 31(7): 2537-2550 (2019) - [j94]Junfei Qiao, Lei Wang, Cuili Yang:
Adaptive lasso echo state network based on modified Bayesian information criterion for nonlinear system modeling. Neural Comput. Appl. 31(10): 6163-6177 (2019) - [j93]Cuili Yang, Junfei Qiao, Lei Wang, Xinxin Zhu:
Dynamical regularized echo state network for time series prediction. Neural Comput. Appl. 31(10): 6781-6794 (2019) - [j92]Junfei Qiao, Zhiqiang Hu, Wenjing Li:
Hysteretic noisy frequency conversion sinusoidal chaotic neural network for traveling salesman problem. Neural Comput. Appl. 31(11): 7055-7069 (2019) - [j91]Ding Wang, Junfei Qiao:
Approximate neural optimal control with reinforcement learning for a torsional pendulum device. Neural Networks 117: 1-7 (2019) - [j90]Cuili Yang, Junfei Qiao, Zohaib Ahmad, Kaizhe Nie, Lei Wang:
Online sequential echo state network with sparse RLS algorithm for time series prediction. Neural Networks 118: 32-42 (2019) - [j89]Liguo Zhang, Christophe Prieur, Junfei Qiao:
PI boundary control of linear hyperbolic balance laws with stabilization of ARZ traffic flow models. Syst. Control. Lett. 123: 85-91 (2019) - [j88]Jian Tang, Junfei Qiao, Zhuo Liu, Xiaojie Zhou, Gang Yu, Jianjun Zhao:
Optimized ensemble modeling based on feature selection using simple sphere criterion for multi-scale mechanical frequency spectrum. Soft Comput. 23(16): 7263-7278 (2019) - [j87]Wenjing Li, Minghui Chu, Junfei Qiao:
Design of a hierarchy modular neural network and its application in multimodal emotion recognition. Soft Comput. 23(22): 11817-11828 (2019) - [j86]Gongming Wang, Junfei Qiao, Jing Bi, Wenjing Li, MengChu Zhou:
TL-GDBN: Growing Deep Belief Network With Transfer Learning. IEEE Trans Autom. Sci. Eng. 16(2): 874-885 (2019) - [j85]Shengli Du, Hamid Reza Karimi, Junfei Qiao, Di Wu, Chao Feng:
Stability Analysis for a Class of Discrete-Time Switched Systems With Partial Unstable Subsystems. IEEE Trans. Circuits Syst. II Express Briefs 66-II(12): 2017-2021 (2019) - [j84]Honggui Han, Xiao-Long Wu, Junfei Qiao:
A Self-Organizing Sliding-Mode Controller for Wastewater Treatment Processes. IEEE Trans. Control. Syst. Technol. 27(4): 1480-1491 (2019) - [j83]Honggui Han, Lu Zhang, Xiao-Long Wu, Junfei Qiao:
An Efficient Second-Order Algorithm for Self-Organizing Fuzzy Neural Networks. IEEE Trans. Cybern. 49(1): 14-26 (2019) - [j82]Honggui Han, Xiao-Long Wu, Lu Zhang, Yu Tian, Junfei Qiao:
Self-Organizing RBF Neural Network Using an Adaptive Gradient Multiobjective Particle Swarm Optimization. IEEE Trans. Cybern. 49(1): 69-82 (2019) - [j81]Honggui Han, Xiao-Long Wu, Hongxu Liu, Junfei Qiao:
An Efficient Optimization Method for Improving Generalization Performance of Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 27(7): 1347-1361 (2019) - [j80]Ke Gu, Junfei Qiao, Xiaoli Li:
Highly Efficient Picture-Based Prediction of PM2.5 Concentration. IEEE Trans. Ind. Electron. 66(4): 3176-3184 (2019) - [j79]Guanghui Yue, Ke Gu, Junfei Qiao:
Effective and Efficient Photo-Based PM2.5 Concentration Estimation. IEEE Trans. Instrum. Meas. 68(10): 3962-3971 (2019) - [j78]Shengli Du, Junfei Qiao, Wei Li:
Leader-following consensus for nonlinear multiagent systems with large delays. Trans. Inst. Meas. Control 41(8): 2223-2235 (2019) - [c39]Zohaib Ahmad, Kaizhe Nie, Junfei Qiao, Cuili Yang:
Batch Gradient Training Method with Smoothing l_0 Regularization for Echo State Networks. MLICOM 2019: 491-500 - [c38]Cuili Yang, Xinxin Zhu, Junfei Qiao:
A Backward Learning Algorithm in Polynomial Echo State Networks. MLICOM 2019: 501-509 - [c37]Zhuang Yang, Cuili Yang, Junfei Qiao:
Sewage Treatment Control Method Based on Genetic-SOFNN. MLICOM 2019: 636-644 - [c36]Zohaib Ahmad, Cuili Yang, Junfei Qiao:
An Accelerated PSO Based Self-organizing RBF Neural Network for Nonlinear System Identification and Modeling. MLICOM 2019: 769-777 - [c35]Gongming Wang, Junfei Qiao, Jing Bi, Mengchu Zhou:
An Efficient Deep Belief Network with Fuzzy Learning for Nonlinear System Modeling. SMC 2019: 3549-3554 - [c34]Yingbo Xie, Ying Hou, Junfei Qiao, Baocai Yin:
An Improved Decomposition-based Multi-objective Evolutionary Algorithm with Enhanced Differential Evolution Strategy. SSCI 2019: 2245-2251 - [i1]Ke Gu, Dacheng Tao, Junfei Qiao, Weisi Lin:
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data. CoRR abs/1904.08632 (2019) - 2018
- [j77]Honggui Han, Lu Zhang, Junfei Qiao:
Data-Based Predictive Control for Wastewater Treatment Process. IEEE Access 6: 1498-1512 (2018) - [j76]Junfei Qiao, Lei Wang, Cuili Yang, Ke Gu:
Adaptive Levenberg-Marquardt Algorithm Based Echo State Network for Chaotic Time Series Prediction. IEEE Access 6: 10720-10732 (2018) - [j75]Junfei Qiao, Chao Lu, Wen-Jing Li:
Design of Dynamic Modular Neural Network Based on Adaptive Particle Swarm Optimization Algorithm. IEEE Access 6: 10850-10857 (2018) - [j74]Junfei Qiao, Hongbiao Zhou, Cuili Yang:
Bare-Bones Multiobjective Particle Swarm Optimization Based on Parallel Cell Balanceable Fitness Estimation. IEEE Access 6: 32493-32506 (2018) - [j73]Junfei Qiao, Maoshen Liu, Sanyi Li, Zengzeng He, Zhuang Yang:
Highly Efficient Quality Assessment of 3D-Synthesized Views Based on Compression Technology. IEEE Access 6: 42309-42318 (2018) - [j72]Cuili Yang, Xinxin Zhu, Zohaib Ahmad, Lei Wang, Junfei Qiao:
Design of Incremental Echo State Network Using Leave-One-Out Cross-Validation. IEEE Access 6: 74874-74884 (2018) - [j71]Junfei Qiao, Gongming Wang, Xiaoli Li, Wenjing Li:
A self-organizing deep belief network for nonlinear system modeling. Appl. Soft Comput. 65: 170-183 (2018) - [j70]Hong-Gui Han, Lu Zhang, Hong-Xu Liu, Junfei Qiao:
Multiobjective design of fuzzy neural network controller for wastewater treatment process. Appl. Soft Comput. 67: 467-478 (2018) - [j69]Hong-Gui Han, Ya-Nan Guo, Junfei Qiao:
Nonlinear system modeling using a self-organizing recurrent radial basis function neural network. Appl. Soft Comput. 71: 1105-1116 (2018) - [j68]Liguo Zhang, Christophe Prieur, Junfei Qiao:
Local Exponential Stabilization of Semi-Linear Hyperbolic Systems by Means of a Boundary Feedback Control. IEEE Control. Syst. Lett. 2(1): 55-60 (2018) - [j67]Junfei Qiao, Hongbiao Zhou:
Modeling of energy consumption and effluent quality using density peaks-based adaptive fuzzy neural network. IEEE CAA J. Autom. Sinica 5(5): 968-976 (2018) - [j66]Junfei Qiao, Ying Hou, Lu Zhang, Hong-Gui Han:
Adaptive fuzzy neural network control of wastewater treatment process with multiobjective operation. Neurocomputing 275: 383-393 (2018) - [j65]Jian Tang, Junfei Qiao, Jian Zhang, Zhiwei Wu, Tianyou Chai, Wen Yu:
Combinatorial optimization of input features and learning parameters for decorrelated neural network ensemble-based soft measuring model. Neurocomputing 275: 1426-1440 (2018) - [j64]Shengli Du, Junfei Qiao:
Stability analysis and L1-gain controller synthesis of switched positive T-S fuzzy systems with time-varying delays. Neurocomputing 275: 2616-2623 (2018) - [j63]Cuili Yang, Junfei Qiao, Honggui Han, Lei Wang:
Design of polynomial echo state networks for time series prediction. Neurocomputing 290: 148-160 (2018) - [j62]Hong-Gui Han, Zhi-Yuan Chen, Hong-Xu Liu, Junfei Qiao:
A self-organizing interval Type-2 fuzzy-neural-network for modeling nonlinear systems. Neurocomputing 290: 196-207 (2018) - [j61]Junfei Qiao, Xi Meng, Wenjing Li:
An incremental neuronal-activity-based RBF neural network for nonlinear system modeling. Neurocomputing 302: 1-11 (2018) - [j60]Shengli Du, Junfei Qiao, Xudong Zhao, Rui Wang:
Stability and L1-gain analysis for switched positive T-S fuzzy systems under asynchronous switching. J. Frankl. Inst. 355(13): 5912-5927 (2018) - [j59]Junfei Qiao, Wei Zhang:
Dynamic multi-objective optimization control for wastewater treatment process. Neural Comput. Appl. 29(11): 1261-1271 (2018) - [j58]Junfei Qiao, Gongming Wang, Wenjing Li, Xiaoli Li:
A deep belief network with PLSR for nonlinear system modeling. Neural Networks 104: 68-79 (2018) - [j57]Junfei Qiao, Gongming Wang, Wenjing Li, Min Chen:
An adaptive deep Q-learning strategy for handwritten digit recognition. Neural Networks 107: 61-71 (2018) - [j56]Honggui Han, Wei Lu, Lu Zhang, Junfei Qiao:
Adaptive Gradient Multiobjective Particle Swarm Optimization. IEEE Trans. Cybern. 48(11): 3067-3079 (2018) - [j55]Hong-Gui Han, Xiao-Long Wu, Zheng Liu, Junfei Qiao:
Design of Self-Organizing Intelligent Controller Using Fuzzy Neural Network. IEEE Trans. Fuzzy Syst. 26(5): 3097-3111 (2018) - [j54]Xi Meng, Pawel Rózycki, Junfei Qiao, Bogdan M. Wilamowski:
Nonlinear System Modeling Using RBF Networks for Industrial Application. IEEE Trans. Ind. Informatics 14(3): 931-940 (2018) - [j53]Ke Gu, Junfei Qiao, Weisi Lin:
Recurrent Air Quality Predictor Based on Meteorology- and Pollution-Related Factors. IEEE Trans. Ind. Informatics 14(9): 3946-3955 (2018) - [j52]Ke Gu, Vinit Jakhetiya, Junfei Qiao, Xiaoli Li, Weisi Lin, Daniel Thalmann:
Model-Based Referenceless Quality Metric of 3D Synthesized Images Using Local Image Description. IEEE Trans. Image Process. 27(1): 394-405 (2018) - [j51]Hong-Gui Han, Wei Lu, Ying Hou, Junfei Qiao:
An Adaptive-PSO-Based Self-Organizing RBF Neural Network. IEEE Trans. Neural Networks Learn. Syst. 29(1): 104-117 (2018) - [j50]Ke Gu, Dacheng Tao, Junfei Qiao, Weisi Lin:
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1301-1313 (2018) - [j49]Ke Gu, Junfei Qiao, Xiongkuo Min, Guanghui Yue, Weisi Lin, Daniel Thalmann:
Evaluating Quality of Screen Content Images Via Structural Variation Analysis. IEEE Trans. Vis. Comput. Graph. 24(10): 2689-2701 (2018) - [c33]Maoshen Liu, Ke Gu, Junfei Qiao:
Convolutional Neural Network for Smoke Image Super-Resolution. CSAE 2018: 100:1-100:6 - [c32]Jian Tang, Jun-Fei Qiao, Wen Yu:
Selective Ensemble Modeling Approach based on Variable Importance of Projection With its Application. ICIA 2018: 99-104 - [c31]Maoshen Liu, Ke Gu, Li Wu, Xin Xu, Junfei Qiao:
Learn a Deep Convolutional Neural Network for Image Smoke Detection. IFTC 2018: 217-226 - 2017
- [j48]Junfei Qiao, Gaitang Han, Honggui Han, Wei Chai:
Wastewater treatment control method based on a rule adaptive recurrent fuzzy neural network. Int. J. Intell. Comput. Cybern. 10(2): 94-110 (2017) - [j47]Hong-Gui Han, Ya-Nan Guo, Junfei Qiao:
Self-organization of a recurrent RBF neural network using an information-oriented algorithm. Neurocomputing 225: 80-91 (2017) - [j46]Hong-Gui Han, Shuo Zhang, Junfei Qiao:
An adaptive growing and pruning algorithm for designing recurrent neural network. Neurocomputing 242: 51-62 (2017) - [j45]Junfei Qiao, Sanyi Li, Honggui Han, Dianhui Wang:
An improved algorithm for building self-organizing feedforward neural networks. Neurocomputing 262: 28-40 (2017) - [j44]Hong-Gui Han, Zheng-Lai Lin, Junfei Qiao:
Modeling of nonlinear systems using the self-organizing fuzzy neural network with adaptive gradient algorithm. Neurocomputing 266: 566-578 (2017) - [j43]Junfei Qiao, Gaitang Han, Honggui Han, Cuili Yang, Wei Li:
A Hybrid Intelligent Optimal Control System Design for Wastewater Treatment Process. Inf. Technol. Control. 46(3): 382-394 (2017) - [j42]Honggui Han, Wei Lu, Junfei Qiao:
An Adaptive Multiobjective Particle Swarm Optimization Based on Multiple Adaptive Methods. IEEE Trans. Cybern. 47(9): 2754-2767 (2017) - [j41]Ke Gu, Jun Zhou, Junfei Qiao, Guangtao Zhai, Weisi Lin, Alan Conrad Bovik:
No-Reference Quality Assessment of Screen Content Pictures. IEEE Trans. Image Process. 26(8): 4005-4018 (2017) - [j40]Junfei Qiao, Fanjun Li, Honggui Han, Wenjing Li:
Growing Echo-State Network With Multiple Subreservoirs. IEEE Trans. Neural Networks Learn. Syst. 28(2): 391-404 (2017) - [c30]Jian Tang, Jun-Fei Qiao, Zhuo Liu, Tianyou Chai, Wen Yu:
Modeling mill load parameter based on LASSO using multi-scale high dimensional frequency spectra data1. ICIA 2017: 909-914 - [c29]Ke Gu, Junfei Qiao, Patrick Le Callet, Zhifang Xia, Weisi Lin:
Using multiscale analysis for blind quality assessment of DIBR-synthesized images. ICIP 2017: 745-749 - [c28]Jing Bi, Haitao Yuan, Junfei Qiao, MengChu Zhou, Xiao Song:
Temporal request scheduling for energy-efficient cloud data centers. ICNSC 2017: 180-185 - [c27]Jian Tang, Junfei Qiao, Zhiwei Wu, Jian Zhang, Aijun Yan:
Selective Ensemble Random Neural Networks Based on Adaptive Selection Scope of Input Weights and Biases for Building Soft Measuring Model. ICONIP (1) 2017: 576-585 - [c26]Maoshen Liu, Junfei Qiao, Li Wu, Huiqing Zhang:
How to Efficiently Identify Real and Pseudo 4K Video Contents? IFTC 2017: 138-146 - [c25]Sanyi Li, Junfei Qiao, Maoshen Liu, Li Wu:
Compression-Based Quality Predictor of 3D-Synthesized Views. IFTC 2017: 310-319 - [c24]Ying Hou, Cuili Yang, Junfei Qiao, Honggui Han:
An adaptive multi-objective differential evolution algorithm based on evolutionary process information. SPAC 2017: 383-388 - 2016
- [j39]Honggui Han, Ying Li, Ya-Nan Guo, Junfei Qiao:
A soft computing method to predict sludge volume index based on a recurrent self-organizing neural network. Appl. Soft Comput. 38: 477-486 (2016) - [j38]Fanjun Li, Junfei Qiao, Honggui Han, Cuili Yang:
A self-organizing cascade neural network with random weights for nonlinear system modeling. Appl. Soft Comput. 42: 184-193 (2016) - [j37]Junfei Qiao, Wei Li, Xiao-Jun Zeng, Honggui Han:
Identification of fuzzy neural networks by forward recursive input-output clustering and accurate similarity analysis. Appl. Soft Comput. 49: 524-543 (2016) - [j36]Junfei Qiao, Fanjun Li, Honggui Han, Wenjing Li:
Constructive algorithm for fully connected cascade feedforward neural networks. Neurocomputing 182: 154-164 (2016) - [j35]Junfei Qiao, Sanyi Li, Wenjing Li:
Mutual information based weight initialization method for sigmoidal feedforward neural networks. Neurocomputing 207: 676-683 (2016) - [j34]Hong-Gui Han, Lu-Ming Ge, Junfei Qiao:
An adaptive second order fuzzy neural network for nonlinear system modeling. Neurocomputing 214: 837-847 (2016) - [j33]Junfei Qiao, Wei Zhang, Honggui Han:
Self-organizing fuzzy control for dissolved oxygen concentration using fuzzy neural network. J. Intell. Fuzzy Syst. 30(6): 3411-3422 (2016) - [j32]Hong-Gui Han, Lu Zhang, Ying Hou, Junfei Qiao:
Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network. IEEE Trans. Neural Networks Learn. Syst. 27(2): 402-415 (2016) - 2015
- [j31]Honggui Han, Wendong Zhou, Junfei Qiao, Gang Feng:
A Direct Self-Constructing Neural Controller Design for a Class of Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1312-1322 (2015) - [c23]Wei Li, Junfei Qiao, Xiao-Jun Zeng:
Accurate similarity analysis and computing of Gaussian membership functions for FNN simplification. FSKD 2015: 402-409 - [c22]Wen-Tao Fu, Junfei Qiao, Gaitang Han, Xi Meng:
Dissolved oxygen control system based on the T-S fuzzy neural network. IJCNN 2015: 1-7 - [c21]Xi Meng, Junfei Qiao, Hong-Gui Han:
An ART-like algorithm for constructing RBF neural networks. IJCNN 2015: 1-7 - 2014
- [j30]Gang Yang, Junfei Qiao:
A fast and efficient two-phase sequential learning algorithm for spatial architecture neural network. Appl. Soft Comput. 25: 129-138 (2014) - [j29]Honggui Han, Ying Li, Junfei Qiao:
A fuzzy neural network approach for online fault detection in waste water treatment process. Comput. Electr. Eng. 40(7): 2216-2226 (2014) - [j28]Wei Chai, Junfei Qiao:
Passive robust fault detection using RBF neural modeling based on set membership identification. Eng. Appl. Artif. Intell. 28: 1-12 (2014) - [j27]Junfei Qiao, Zhaozhao Zhang, Yingchun Bo:
An online self-adaptive modular neural network for time-varying systems. Neurocomputing 125: 7-16 (2014) - [j26]Hong-Gui Han, Lidan Wang, Junfei Qiao:
Hierarchical extreme learning machine for feedforward neural network. Neurocomputing 128: 128-135 (2014) - [j25]Honggui Han, Xiao-Long Wu, Junfei Qiao:
Nonlinear Systems Modeling Based on Self-Organizing Fuzzy-Neural-Network With Adaptive Computation Algorithm. IEEE Trans. Cybern. 44(4): 554-564 (2014) - [j24]Honggui Han, Junfei Qiao:
Nonlinear Model-Predictive Control for Industrial Processes: An Application to Wastewater Treatment Process. IEEE Trans. Ind. Electron. 61(4): 1970-1982 (2014) - [c20]Wei Li, Honggui Han, Junfei Qiao:
An input-output clustering approach for structure identification of T-S fuzzy neural networks. CICA 2014: 21-28 - [c19]Zhaozhao Zhang, Jun-Fei Qiao:
A brain-like multi-hierarchical modular neural network with applications to gas concentration forecasting. IJCNN 2014: 398-403 - [c18]Guangyuan Pan, Junfei Qiao, Wei Chai, Nikitas Dimopoulos:
An improved RBM based on Bayesian Regularization. IJCNN 2014: 2935-2939 - [c17]Honggui Han, Lidan Wang, Junfei Qiao, Gang Feng:
A Spiking-based mechanism for self-organizing RBF neural networks. IJCNN 2014: 3775-3782 - 2013
- [j23]Wei Chai, Junfei Qiao:
Non-linear system identification and fault detection method using RBF neural networks with set membership estimation. Int. J. Model. Identif. Control. 20(2): 114-120 (2013) - [j22]Hong-Gui Han, Junfei Qiao:
A structure optimisation algorithm for feedforward neural network construction. Neurocomputing 99: 347-357 (2013) - [j21]Hong-Gui Han, Lidan Wang, Junfei Qiao:
Efficient self-organizing multilayer neural network for nonlinear system modeling. Neural Networks 43: 22-32 (2013) - [j20]Honggui Han, Junfei Qiao:
Hierarchical Neural Network Modeling Approach to Predict Sludge Volume Index of Wastewater Treatment Process. IEEE Trans. Control. Syst. Technol. 21(6): 2423-2431 (2013) - [j19]Hong-Gui Han, Xiao-Long Wu, Junfei Qiao:
Real-Time Model Predictive Control Using a Self-Organizing Neural Network. IEEE Trans. Neural Networks Learn. Syst. 24(9): 1425-1436 (2013) - [c16]Wei Chai, Junfei Qiao, Heng Wang:
Robust fault detection using set membership estimation and T-S fuzzy neural network. ACC 2013: 893-898 - [c15]Gang Yang, Junfei Qiao, Wei Li, Wei Chai:
The Effect of Lateral Inhibitory Connections in Spatial Architecture Neural Network. ISNN (1) 2013: 311-318 - 2012
- [j18]Junfei Qiao, Hong-Gui Han:
Identification and modeling of nonlinear dynamical systems using a novel self-organizing RBF-based approach. Autom. 48(8): 1729-1734 (2012) - [j17]Hong-Gui Han, Junfei Qiao:
Adaptive Computation Algorithm for RBF Neural Network. IEEE Trans. Neural Networks Learn. Syst. 23(2): 342-347 (2012) - [c14]Xichun Yuan, Honggui Han, Junfei Qiao:
The sludge volume index soft sensor model based on PCA-ElmanNN. IJCNN 2012: 1-7 - [c13]Junfei Qiao, Xiaoqi Huang, Honggui Han:
Recurrent Neural Network-Based Control for Wastewater Treatment Process. ISNN (2) 2012: 496-506 - [c12]Junfei Qiao, Donghong Ren, Honggui Han:
Soft Measurement Modeling Based on Hierarchically Neural Network (HNN) for Wastewater Treatment. ISNN (2) 2012: 575-584 - 2011
- [j16]Hong-Gui Han, Junfei Qiao:
Adaptive dissolved oxygen control based on dynamic structure neural network. Appl. Soft Comput. 11(4): 3812-3820 (2011) - [j15]Junfei Qiao, Yu-Fang Wang, Wei Chai, Lin-Bo Sun:
Optimal water distribution network design with improved particle swarm optimisation. Int. J. Comput. Sci. Eng. 6(1/2): 34-42 (2011) - [j14]Gang Yang, Junfei Qiao, Yingchun Bo:
Research on artificial neural networks with spatial architecture based on span connection and lateral inhibition mechanism. Int. J. Comput. Sci. Eng. 6(1/2): 86-95 (2011) - [j13]Junfei Qiao, Weiwei Yang, Ming zhe Yuan:
Recurrent High Order Neural Network Modeling for Wastewater Treatment Process. J. Comput. 6(8): 1570-1577 (2011) - [j12]Hong-Gui Han, Qili Chen, Junfei Qiao:
An efficient self-organizing RBF neural network for water quality prediction. Neural Networks 24(7): 717-725 (2011) - [c11]Yingchun Bo, Junfei Qiao, Shuwei Wang:
Research on Design Method of Small World Property ESN. ISNN (1) 2011: 52-59 - [c10]Qili Chen, Wei Chai, Junfei Qiao:
A Stable Online Self-Constructing Recurrent Neural Network. ISNN (3) 2011: 122-131 - [c9]Gang Yang, Junfei Qiao, Mingzhe Yuan:
A Novel Spatial Architecture Artificial Neural Network Based on Multilayer Feedforward Network with Mutual Inhibition among Hidden Units. ISNN (1) 2011: 495-504 - 2010
- [j11]Honggui Han, Junfei Qiao, Xinyuan Li:
Research on structure dynamic neural networks. Int. J. Model. Identif. Control. 9(1/2): 152-160 (2010) - [j10]Junfei Qiao, Hong-Gui Han:
A Repair Algorithm for Radial Basis Function Neural Network and its Application to Chemical oxygen Demand Modeling. Int. J. Neural Syst. 20(1): 63-74 (2010) - [j9]Honggui Han, Qili Chen, Junfei Qiao:
Research on an online self-organizing radial basis function neural network. Neural Comput. Appl. 19(5): 667-676 (2010) - [j8]Honggui Han, Junfei Qiao:
A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm. IEEE Trans. Fuzzy Syst. 18(6): 1129-1143 (2010) - [c8]Qili Chen, Honggui Han, Junfei Qiao:
An improved recurrent neural network and its application in nonlinear control. BIC-TA 2010: 1263-1267 - [c7]Zhaozhao Zhang, Qili Chen, Junfei Qiao:
A merging and splitting algorithm based on mutual information for design neural networks. BIC-TA 2010: 1268-1272
2000 – 2009
- 2009
- [c6]Honggui Han, Junfei Qiao:
A novel pruning algorithm for self-organizing neural network. IJCNN 2009: 1245-1250 - [c5]Junfei Qiao, Miao Li, Hong-Gui Han:
A self-organizing neural network using fast training and pruning. IJCNN 2009: 1470-1475 - [c4]Junfei Qiao, Ruiyuan Fan, Honggui Han, Xiaogang Ruan:
Q-Learning Based on Dynamical Structure Neural Network for Robot Navigation in Unknown Environment. ISNN (3) 2009: 188-196 - 2008
- [j7]Junfei Qiao, Ying Zhang, Hong-Gui Han:
Fast unit pruning algorithm for feedforward neural network design. Appl. Math. Comput. 205(2): 622-627 (2008) - [j6]Junfei Qiao, Huidong Wang:
A self-organizing fuzzy neural network and its applications to function approximation and forecast modeling. Neurocomputing 71(4-6): 564-569 (2008) - [c3]Junfei Qiao, Honggui Han:
A new growing self-organizing neuron-fuzzy network with application to wastewater treatment. FUZZ-IEEE 2008: 525-530 - [c2]Junfei Qiao, Honggui Han, Xiaogang Ruan:
Research on Fuzzy Neural Network Based on Lyapunov Stability Theory and its Application. ICNSC 2008: 1279-1283 - [c1]Honggui Han, Junfei Qiao, Xinyuan Li:
Structure Automatic Change in Neural Network. ISNN (1) 2008: 762-775 - 2007
- [j5]Xiaogang Ruan, Mingxiao Ding, Daoxiong Gong, Junfei Qiao:
On-line adaptive control for inverted pendulum balancing based on feedback-error-learning. Neurocomputing 70(4-6): 770-776 (2007) - [j4]Jian Ye, Junfei Qiao, Ming-Ai Li, Xiaogang Ruan:
A tabu based neural network learning algorithm. Neurocomputing 70(4-6): 875-882 (2007) - 2006
- [j3]Ge Guo, Zi Ma, Junfei Qiao:
State-PID feedback control with application to a robot vibration absorber. Int. J. Model. Identif. Control. 1(1): 38-43 (2006) - [j2]Ming-Ai Li, Naigong Yu, Junfei Qiao, Xiaogang Ruan:
Infinite-Horizon Optimal Control Based on Continuous-Time Continuous-State Hopfield Neural Networks. Int. J. Wavelets Multiresolution Inf. Process. 4(4): 707-719 (2006) - 2004
- [j1]Daoxiong Gong, Xiaogang Ruan, Junfei Qiao:
A neurocomputing model for real coded genetic algorithm with the minimal generation gap. Neural Comput. Appl. 13(3): 221-228 (2004)
Coauthor Index
aka: Hong-Gui Han
aka: Hong-Xu Liu
aka: Hao-Yuan Sun
aka: Xiao-Long Wu
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