计算机与数字工程2013，Vol.41Issue(1)：4-6,3.
小波模糊神经网络在非线性函数逼近中的应用
Applications of Wavelet Fuzzy Neural Network in Approximating Non-linear Functions
摘要
Abstract
Based on the combination of the feedforward neural networks and T-S fuzzy model,this paper researches a model,called fuzzy neural network,and by utilizing compression property of wavelets in conjunction with fuzzy neural networks,one wavelet fuzzy neural network is proposed in this paper for approximating non-linear functions. The simulations to non-linear fuctions demonstrate that the proposed wavelet fuzzy neural network is optimal.关键词
小波变换/T-S模糊模型/神经网络/小波模糊神经网络/非线性函数Key words
wavelet transform/ T-S fuzzy model/ neural network/ wavelet fuzzy neural network/ non-linear fuctions分类
信息技术与安全科学引用本文复制引用
邵俊倩..小波模糊神经网络在非线性函数逼近中的应用[J].计算机与数字工程,2013,41(1):4-6,3.基金项目
绥化学院2012年科学研究项目《小波模糊神经网络的研究与应用》(编号:KQ1201001)资助. （编号:KQ1201001）
