| 基于在线训练RBF神经网络的混沌系统辨识研究 |
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| 引用本文： | 杨涛,王学雷,邵惠鹤.基于在线训练RBF神经网络的混沌系统辨识研究[J].应用科学学报,2002,20(2):160-164. |
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| 作者姓名： | 杨涛 王学雷 邵惠鹤 |
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| 作者单位： | 上海交通大学自动化研究所, 上海 200030 |
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| 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.
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| 关 键 词： | 混沌系统 径向基函数神经网络 在线训练 混沌辨识 |
| 文章编号： | 0255-8297(2002)02-0160-05 |
| 收稿时间： | 2001-03-09 |
| 修稿时间： | 2001-06-20 |
A Study of Chaos Identification Via an Online Training RBF Neural Network |
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| YANG Tao,WANG Xue lei,SHAO Hui he.A Study of Chaos Identification Via an Online Training RBF Neural Network[J].Journal of Applied Sciences,2002,20(2):160-164. |
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| Authors: | YANG Tao WANG Xue lei SHAO Hui he |
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| Institution: | Institute of Automation, Shanghai Jiaotong University, Shanghai 200030, China |
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| 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. |
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| Keywords: | chaotic system RBF neural network chaos identification online training |
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