Stability and chaos of a neural network with uncertain time delays

被引：0
|
作者：
Zhou, SB [1 ]
Li, H
Wu, ZF
机构：
[1] Chongqing Univ, Dept Comp Sci & Engn, Chongqing 440004, Peoples R China
[2] Univ Lethbridge, Dept Math & Comp Sci, Lethbridge, AB T1K 3M4, Canada
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS | 2005年 / 3496卷
关键词：
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：
Time delays affect the behavior of a dynamic system significantly. Chaos have been found in a simplest neural network system consisted with even one neuron. It is known difficult to analyze chaos theoretically in a neural network system with uncertain time delays. In this paper we consider a neural network consisted with one neuron with uncertain time delays. Stability of the system is analyzed first. Chaos phenomenon of the system is then illustrated by giving the diagram of bifurcation and the largest Lyapunov exponent.
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页码：340 / 345
页数：6
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