Relations Between Wavelet Network and Feedforward Neural Network

作     者：刘志刚 何正友 钱清泉 

作者机构：Institute of Railway Electrification & Automation Southwest Jiaotong University Chengdu 610031 China 

出 版 物：《Journal of Southwest Jiaotong University(English Edition)》 (西南交通大学学报（英文版）)

年 卷 期：2002年第10卷第2期

页      面：179-184页

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Supported by the National Natural Science Foundatipn of China (No. 59977019) 

主　　题：wavelet transformation feedforward neural network wavelet network 

摘      要：A comparison of construction forms and base functions is made between feedforward neural network and wavelet network. The relations between them are studied from the constructions of wavelet functions or dilation functions in wavelet network by different activation functions in feedforward neural network. It is concluded that some wavelet function is equal to the linear combination of several neurons in feedforward neural network.