Continuous-time additive Hopfield-type neural networks with impulses

被引：163

作者：

Akça, H

Alassar, R

Covachev, V

Covacheva, Z

Al-Zahrani, E

机构：

[1] King Fahd Univ Petr & Minerals, Dept Math Sci, Dhahran 31261, Saudi Arabia

[2] Sultan Qaboos Univ, Coll Sci, Dept Math, Muscat 123, Oman

[3] Higher Coll Telecommun & Post, Sofia, Bulgaria

[4] Sci Coll Girls, Dept Math, Dammam, Saudi Arabia

[5] Bulgarian Acad Sci, Inst Math, BU-1113 Sofia, Bulgaria

来源：

JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS | 2004年 / 290卷 / 02期

关键词：

impulsive equations; additive Hopfield-type neural networks; global stability;

D O I：

10.1016/j.jmaa.2003.10.005

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

We investigate the global stability characteristics of a system of equations modelling the dynamics of additive Hopfield-type neural networks with impulses in the continuous-time case. (C) 2003 Elsevier Inc. All rights reserved.

引用

页码：436 / 451

页数：16

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