Global exponential stability of delayed Hopfield neural networks

被引：284

作者：

Chen, TP ^{[1
]}

机构：

[1] Fudan Univ, Inst Math, Lab Nonlinear Math Sci, Shanghai 200433, Peoples R China

来源：

NEURAL NETWORKS | 2001年 / 14卷 / 08期

基金：

中国国家自然科学基金;

关键词：

neural networks; stability; global exponential convergence;

D O I：

10.1016/S0893-6080(01)00059-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we discuss delayed Hopfield neural networks, investigating their global exponential stability. Sufficient conditions ensuring global exponential stability of delayed Hopfield neural networks are given. (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：977 / 980

页数：4

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