Robust synchronization of coupled delayed recurrent neural networks

被引：0
|
作者：
Zhou, J [1 ]
Chen, TP
Lan, X
机构：
[1] Fudan Univ, Inst Math, Lab Nonlinear Sci, Shanghai 200433, Peoples R China
[2] Hebei Univ Technol, Dept Appl Math & Phys, Tianjin 300130, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 1 | 2004年 / 3173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：
This paper investigates synchronization dynamics of a system of linearly and diffusively coupled identical delayed recurrent neural networks. A simple yet generic criterion for robust synchronization of such coupled recurrent neural networks is given. Furthermore, the theoretical result is applied to a typical coupled chaotic delayed Hopfied neural networks, and is also illustrated by numerical simulations.
引用
收藏
页码：144 / 149
页数：6
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