摘要
小波函数构造的多样性和复杂性决定了小波网络构造的多样性和复杂性。本文以小波分析为基础,将基于连续参数的小波神经网络算法应用于多输入单输出(MISO)非线性系统的逼近研究中,阐述了算法的理论和实现步骤,并以一个多输入单输出非线性系统为例进行了仿真,结果显示此方法有较强的逼近能力。
The diversity and complexity of the wavelet function to construction determines the wavelet network.A method of wavelet neural network based on the continuous parameter wavelet neural network is applied in multiple input-single output（MISO） nonlinear system.This paper expounds the algorithm theory and implementation steps,and simulates a multiple input single output nonlinear system.The results show this method has strong approximation ability.
出处
《仪器仪表用户》
2012年第5期37-39,共3页
Instrumentation
关键词
连续参数小波网络
系统逼近
非线性系统
continuous parameter wavelet network
system approximation
nonlinear system
