Existence and stability of almost periodic solution for BAM neural networks with delays

被引：132

作者：

Chen, AP

Huang, LH

Cao, JD ^{[1
]}

机构：

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

[2] Hunan Univ, Coll Math & Econometr, Changsha 410082, Peoples R China

[3] Chenzhou Teachers Coll, Dept Math, Chenzhou 423000, Hunan, Peoples R China

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2003年 / 137卷 / 01期

基金：

中国国家自然科学基金;

关键词：

almost periodic solution; global stability; BAM neural networks;

D O I：

10.1016/S0096-3003(02)00095-4

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

By using the Banach fixed point theorem and constructing suitable Lyapunov function, some sufficient conditions are obtained ensuring existence, uniqueness and global stability of almost periodic solution of the BAM neural networks with variable coefficients and delays. These results are helpful to design global exponential stable BAM networks and almost periodic oscillatory BAM networks. (C) 2002 Elsevier Science Inc. All rights reserved.

引用

页码：177 / 193

页数：17

共 23 条

[1]

[Anonymous], 1988, Self-Organization and Associative Memory

[2] A set of stability criteria for delayed cellular neural networks [J].