Existence and exponential stability of almost-periodic solutions for neutral BAM neural networks with time-varying delays in leakage terms on time scales

被引：9

作者：

Gao, Jin ^{[1
,2
]}

Wang, Qiru ^{[1
]}

Lin, Yuan ^{[3
]}

机构：

[1] Sun Yat Sen Univ, Sch Math & Computat Sci, Guangzhou 510275, Guangdong, Peoples R China

[2] Shenzhen Inst Informat Technol, Sch Comp Sci, Shenzhen 518172, Peoples R China

[3] Shenzhen Inst Informat Technol, Dept Publ Courses, Shenzhen 518172, Peoples R China

来源：

MATHEMATICAL METHODS IN THE APPLIED SCIENCES | 2016年 / 39卷 / 06期

关键词：

neutral BAM neural networks on time scales; time-varying delays in leakage terms; almost-periodic solutions; global exponential stability;

D O I：

10.1002/mma.3574

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper is concerned with neutral bidirectional associative memory neural networks with time-varying delays in leakage terms on time scales. Some sufficient conditions on the existence, uniqueness, and global exponential stability of almost-periodic solutions are established. An example is presented to illustrate the feasibility and effectiveness of the obtained results. Copyright (c) 2015 John Wiley & Sons, Ltd.

引用

页码：1361 / 1375

页数：15

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