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应用科学学报 ›› 2002, Vol. 20 ›› Issue (2): 160-164.

• 论文 • 上一篇    下一篇

基于在线训练RBF神经网络的混沌系统辨识研究

杨涛, 王学雷, 邵惠鹤   

  1. 上海交通大学自动化研究所, 上海 200030
  • 收稿日期:2001-03-09 修回日期:2001-06-20 出版日期:2002-06-30 发布日期:2002-06-30
  • 作者简介:杨涛(1972-),男,四川大英人,博士;邵惠鹤(1936-),男,上海人,教授,博导.

A Study of Chaos Identification Via an On line Training RBF Neural Network

YANG Tao, WANG Xue-lei, SHAO Hui-he   

  1. Institute of Automation, Shanghai Jiaotong University, Shanghai 200030, China
  • Received:2001-03-09 Revised:2001-06-20 Online:2002-06-30 Published:2002-06-30

PDF

101

被引次数

4

摘要： 讨论混沌系统的在线辨识问题,给出了RBF神经网络的一种在线训练算法,对这种在线训练算法所涉及到的各个方面进行了分析,并把这种在线训练算法用在混沌系统的辨识中.仿真表明该算法是非常有效的.

关键词: 混沌系统, 径向基函数神经网络, 在线训练, 混沌辨识

Abstract: In this paper, we discuss the online identification of the chaotic system. A novel online training algorithm for RBF neural network is presented. Some problems related to the algorithm are discussed in detail. Simulations show that the algorithm is very effective and can overcome the shortcomings existing in the so-called offline algorithm, We also use this online neural network to identify chaotic systems with good results.

Key words: chaotic system, RBF neural network, chaos identification, online training

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