Global exponential stability of Hopfield neural networks

被引：98

作者：

Cao, JD ^{[1
]}

机构：

[1] Southeast Univ, Dept Appl Math, Nanjing 210096, Peoples R China

来源：

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2001年 / 32卷 / 02期

关键词：

D O I：

10.1080/00207720117783

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this article, some sufficient criteria are derived for the global exponential stability of the equilibrium of Hopfield neural networks of the form [GRAPHICS] by means of Lyapunov method and some analysis techniques, in which v(i) = g(i). (lambda (i)u(i)). The criteria are easy to check and apply in practice.

引用

页码：233 / 236

页数：4

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