A Local Linear Wavelet Neural Network Trained by PSO Algorithm

نویسندگان

  • Yuehui Chen
  • Jiwen Dong
  • Yong Zhang
چکیده

The paper presents a local linear wavelet neural network. The difference of the network with the original wavelet neural network is that the connection weights between the hidden layer and output layer of the original WNN are replaced by a local linear model. A simple and fast training algorithm, particle swarm optimization (PSO), is also introduced for training the local linear wavelet neural network. Simulation results for the identification of nonlinear systems show the feasibility and effectiveness of the proposed method. Index Terms Local Linear Wavelet neural network, Particle swarm optimization algorithm, System identification

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تاریخ انتشار 2004