[1]魏荣,卢俊国,李军,等.α阶时延逆系统的小波神经网络实现[J].南京理工大学学报(自然科学版),2001,(04):342-345.
 WeiRong LuJunguo LiJun WangZhiquan.Realization of α-order Time-delay Inverse Systems Based on Wavelet Neural Networks[J].Journal of Nanjing University of Science and Technology,2001,(04):342-345.
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α阶时延逆系统的小波神经网络实现()
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
期数:
2001年04期
页码:
342-345
栏目:
出版日期:
2001-08-30

文章信息/Info

Title:
Realization of α-order Time-delay Inverse Systems Based on Wavelet Neural Networks
作者:
魏荣卢俊国李军王执铨
南京理工大学自动化系, 南京210094
Author(s):
WeiRong LuJunguo LiJun WangZhiquan
Department of Automation,NUST,Nanjing 210094
关键词:
神经网络 非线性系统 延时 小波分析 时频局域化 逆系统
Keywords:
neural netw orks non-linear systems t ime delay w avelet analysis localization of t ime and f requency inverse systems
分类号:
TP183
摘要:
研究采用小波神经网络 (WNN)构造α阶时延逆系统的工程实现问题 ,并给出了α阶时延逆系统小波神经网络存在的充分条件。文中利用小波具有的时频局域化特性 ,完成小波神经网络的初始化 ,并去除网络中大量不必要的节点 ,使网络大大简化。仿真研究表明 ,该方法对α阶时延逆系统的实现具有良好效果。
Abstract:
Realizat ion of α-order t ime-delay inverse systems based on wavelet neural networks is investigated, and sufficient existing condition the WNN is presented. Based on the time-frequency localization propert ies of w avelet, many unnecessary hidden nodes are eliminated in the initialization procedure. The efficiency of the WNN is verified by computer simulat ion results.

参考文献/References:

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7 崔锦泰, 程正兴. 小波分析导论. 西安: 西安交通大学出版社, 1995

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备注/Memo

备注/Memo:
魏 荣 女 26 岁 博士生
更新日期/Last Update: 2013-03-25