Global attractivity and global exponential stability for delayed Hopfield neural network models

被引：0

作者：

Zhi-lin P. ^{[1
]}

Dao-yi X. ^{[1
]}

机构：

[1] Department of Mathematics, Sichuan University, Chengdu

来源：

Applied Mathematics and Mechanics | 2001年 / 22卷 / 6期

关键词：

Global attractivity; Global exponential stability; Neural networks;

D O I：

10.1007/BF02435671

中图分类号：

学科分类号：

摘要：

Some global properties such as global attractivity and global exponential stability for delayed Hopfield neural networks model, under the weaker assumptions on nonlinear activation functions, are concerned. By constructing suitable Liapunov function, some simpler criteria for global attractivity and global exponential stability for Hopfield continuous neural networks with time delays are presented.

引用

页码：711 / 716

页数：5

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