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.
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页码：233 / 236
页数：4
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