标题：Complex-valued function approximation using an improved BP learning algorithm for wavelet neural networks
作者：Li, Sufang ;Jiang, Mingyan
作者机构：[Li, Sufang ;Jiang, Mingyan ] School of Information Science and Engineering, Shandong University, Jinan , China
来源：Journal of Computational Information Systems
关键词：Complex-valued wavelet neural network (CVWNN); Function approximation; Momentum
摘要：A new complex-valued wavelet neural network is proposed in this paper by introducing an additive momentum and new error function for the complex-valued wavelet neural network, in which the defect of gradient descent of traditional complex-valued back propagation algorithm can be avoided. It is used for the complex-valued function approximation to verify its feasibility and effectiveness. The simulation results show that the new network has better convergence, better stability and faster running speed than the traditional complex-valued wavelet neural network and complex-valued back propagation network. Copyright © 2014 Binary Information Press.