A short - term urban traffic flow prediction model based on wavelet neural network with improved whale optimization algorithm is proposed. Through the experiment, compared with other traffic flow predicting models, the accuracy and stability are further improved.
Apr 29, 2020 · The purpose of this paper is to improve the short-term traffic flow prediction accuracy through the proposed improved wavelet neural network prediction model.
A short-term urban traffic flow prediction model based on wavelet neural network with improved whale optimization algorithm is proposed.
An improved Wavelet Neural Network (WNN) prediction model based on the Genetic Algorithm (GA) is put forward in this paper. The Genetic Algorithm proposed ...
Firstly, a traffic flow short-time prediction model is established based on improved BP neural network. Secondly, a wavelet neural network prediction model is ...
Jul 20, 2021 · This paper designs and implements a traffic prediction system based on genetically improved wavelet neural networks.
Experimental results show that the improved algorithm has higher accuracy than the raw algorithm, and the model can effectively improve the prediction accuracy ...
A combined prediction model based on wavelet decomposition and reconstruction (WDR) and the extreme gradient boosting (XGBoost) model is developed in this ...
This paper introduces mind evolutionary algorithm (MEA) into the application of short-term traffic flow prediction, and proposes a short-term traffic flow ...
The simulation results show that the new method is better than the neural network prediction model based on wavelet analysis and genetic neural network ...