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ORCIDEAIS 2011: Paris, France
- 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, EAIS 2011, Paris, France, April 14-15, 2011. IEEE 2011, ISBN 978-1-4244-9979-3
Evolving Neural and Neuro-fuzzy Systems
- Damien Coyle
, Girijesh Prasad, T. Martin McGinnity:
A self-organising fuzzy neural network with locally recurrent self-adaptive synapses. 1-8 - Paul Tonelli, Jean-Baptiste Mouret:
Using a map-based encoding to evolve plastic neural networks. 9-16 - Lyle N. Long:
An adaptive spiking neural network with Hebbian learning. 17-23 - Haibo He, Yuan Cao:
Kernel density estimation with stream data based on self-organizing map. 24-30
Evolving Fuzzy Systems
- André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide:
Evolving fuzzy linear regression trees with feature selection. 31-38 - Trevor Martin, Nurfadhlina Mohd Sharef:
Case studies with evolving fuzzy grammars. 39-45 - Di Wang, Xiao-Jun Zeng, John A. Keane:
A Simplified Structure Evolving Method for Fuzzy System structure learning. 46-53 - Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini:
Evolving fuzzy systems for pricing fixed income options. 54-61 - Plamen Angelov, Ronald R. Yager:
Simplified fuzzy rule-based systems using non-parametric antecedents and relative data density. 62-69 - Seiichi Ozawa, Ryohei Ohta:
Incremental recursive fisher linear discriminant for online feature extraction. 70-76
Poster Session
- Florian Siefert, Florian Nafz, Hella Seebach, Wolfgang Reif:
A genetic algorithm for self-optimization in safety-critical resource-flow systems. 77-84
Evolving Kernel-based Systems
- Federico Montesino-Pouzols, Amaury Lendasse:
Adaptive kernel smoothing regression using vector quantization. 85-92 - Mehrdad Alizadeh, Mohammad Mehdi Ebadzadeh:
Kernel evolution for support vector classification. 93-99 - Pouria Sadeghi-Tehran, Plamen Angelov:
Online self-evolving fuzzy controller for autonomous mobile robots. 100-107
Evolving Classifiers
- Stefan Byttner, Magnus Svensson, Gancho Vachkov:
Incremental classification of process data for anomaly detection based on similarity analysis. 108-115 - Toni Mäkinen, Serkan Kiranyaz, Moncef Gabbouj:
Content-based audio classification using collective network of binary classifiers. 116-123 - Sofiane Mazeghrane, Laurent Hartert, Moamar Sayed Mouchaweh:
Dynamic pattern recognition for the diagnosis of evolving systems. 124-130 - Dionisios N. Sotiropoulos, George A. Tsihrintzis:
Artificial immune system-based classification in class-imbalanced problems. 131-138 - José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Evolving human activity classifier from sensor streams. 139-146 - Serkan Kiranyaz, Stefan Uhlmann, Jenni Pulkkinen, Moncef Gabbouj, Turker Ince:
Collective network of evolutionary binary classifiers for content-based image retrieval. 147-154
Applications of Evolving Systems
- Anthony Knittel, Terry Bossomaier:
Re-usable features in a hierarchical concept network for autonomous learning in complex games. 155-162 - Tobias Herbig, Franz Gerl, Wolfgang Minker:
Evolution of an adaptive unsupervised speech controlled system. 163-169 - Ada Diaconescu, Philippe Lalanda:
Self-growing applications from abstract architectures an application to data-mediation systems. 170-177 - Dejan Petelin, Jus Kocijan:
Control system with evolving Gaussian process models. 178-184 - Nils Rosemann, Werner Brockmann, Rolf Thomas Hänel:
Tackling uncertainties in self-optimizing systems by strategy blending. 185-192
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