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Method of Approaching Nonlinear Function Based on Wavelet Network

WANG Zhi-yong (School of Information and Engineering,Xianning University,Xianning 437100,China)  
Based on the theory of wavelet analysis and combined with neural network,A multiresolution orthogonal wavelet neural network is constructed,and the weights are confirmed by LS algorithm.Simulations on types of nonlinear function are studied.The comparison with the traditional BP neural network is also given.Simulation results indicate that the proposed wavelet network in the paper has a good approximation capability,and has the advantages of rapid convergence rate and high approximation accuracy.
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