Adaptive chaotic controlling method of a chaotic neural network model

被引：0

作者：

Wang, LD

Duan, SK

Liu, GY

机构：

[1] SW China Normal Univ, Sch Elect Informat Engn, Chongqing 400715, Peoples R China

[2] Chongqing Univ, Dept Comp Sci & Engn, Chongqing 400030, Peoples R China

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS | 2005年 / 3496卷

关键词：

RECOGNITION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

It has been found that chaotic dynamics may exist in real brain neurons and play important roles in signal proceeding. But it is hard to set suitable parameters of system to make it be chaotic in practice. In this paper, a general adaptive controlling method of nonlinear systems with chaotic dynamics is studied. According analysis Lyapunov exponent, the effectiveness of our scheme is illustrated by a series of computer simulations.

引用

页码：363 / 368

页数：6

共 7 条

[1] CHAOTIC NEURAL NETWORKS [J].