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.
作者
贾君瑞
赵彤
李定华
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)
出处
《数学的实践与认识》
北大核心
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)
关键词
小波神经网络
非线性系统
辨识
wavelet neural network
nonlinear system
identification
