Mean square exponential stability of stochastic delayed Hopfield neural networks

被引：190

作者：

Wan, L ^{[1
]}

Sun, HH ^{[1
]}

机构：

[1] Nanjing Univ, Dept Math, Nanjing 210008, Peoples R China

来源：

PHYSICS LETTERS A | 2005年 / 343卷 / 04期

基金：

中国国家自然科学基金;

关键词：

stochastic Hopfield neural networks; discrete and continuously distributed delays; mean square exponential stability;

D O I：

10.1016/j.physleta.2005.06.024

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Stochastic effects to the stability property of Hopfield neural networks (HNN) with discrete and continuously distributed delay are considered. By using the method of variation parameter, inequality technique and stochastic analysis, the sufficient conditions to guarantee the mean square exponential stability of an equilibrium solution are given. Two examples are also given to demonstrate our results. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：306 / 318

页数：13

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