小波神经网络在高维非线性系统辨识中的应用研究  

Applied Research on Wavelet Neural Network in Identification of High-dimensional Nonlinear System

作　　者：贾君瑞[1] 赵彤[2] 李定华[1] JIA Jun-rui;ZHAO Tong;LI Ding-hua(Department of Mechatronics,Nantong Vocational &Technical Shipping College,Nantong 226010,China;Basic Teaching Department,Nantong Vocational &Technical Shipping College,Nantong 226010,China)

机构地区：[1]南通航运职业技术学院机电系,江苏南通226010 [2]南通航运职业技术学院基础教学部,江苏南通226010

出　　处：《数学的实践与认识》2018年第24期212-216,共5页Mathematics in Practice and Theory

基　　金：2015年南通市市级科技计划项目“基于太阳能供电的电动自行车无线充电系统统计”(MS12015034)

摘　　要：在建立小波神经网络模型的基础上,提出了利用小波神经网络对高维非线性系统进行辨识的方法,得出了高维非线性系统的辨识算法,并通过实例仿真说明了系统的泛化能力得到有效提高,获得了具有良好自适应能力的小波网络.Based on the establishment of a wavelet neural network model,this article proposes a method to identify the high-dimensional nonlinear system using wavelet neural network, and the identification algorithm of the high-dimensional nonlinear system is obtained.The simulation results show that the generalization ability of the system is improved effectively, and a wavelet network with good adaptive ability is obtained.

关 键 词：小波神经网络 非线性系统 辨识 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程] N945.14[自动化与计算机技术—控制科学与工程]