Anti-periodic solutions for high-order Hopfield neural networks

被引：74
作者：
Ou, Chunxia [1 ]
机构：
[1] Guangdong Univ Technol, Inst Appl Math, Guangzhou 510290, Guangdong, Peoples R China
来源：
COMPUTERS & MATHEMATICS WITH APPLICATIONS | 2008年 / 56卷 / 07期
基金：
中国国家自然科学基金;
关键词：
high-order Hopfield neural networks; anti-periodic; exponential stability; delays;
D O I：
10.1016/j.camwa.2008.04.029
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper high-order Hopfield neural networks (HHNNs) with time-varying delays are considered. Sufficient conditions for the existence and exponential stability of anti-periodic solutions are established, which are new and complement previously known results. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1838 / 1844
页数：7
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