期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2011
卷号：8
期号：2
出版社：IJCSI Press
摘要：This paper presents a new algorithm for constructing and training wavelet neural network. This algorithm is based on the variation of the number of hidden neurons dynamically during the training process. The suggested method determines the optimal number of the hidden neurons and solves the optimization problem of wavelet neural network structure. The problem of finding a good neural model is then discussed through solutions offered by wavelet neural networks trained by conjugate gradient algorithm. Finally, experimental results, which confirm the efficiency of this approach, are reported.
关键词：Neural Network; Wavelet; Conjugate Gradient; Regressor; Local Minimum; Hidden Neuron
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