Hopf bifurcation in bidirectional associative memory neural networks with delays: analysis and computation

被引：43
|
作者：
Wang, L [1 ]
Zou, XF [1 ]
机构：
[1] Mem Univ Newfoundland, Dept Math & Stat, St John, NF A1C 5S7, Canada
来源：
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS | 2004年 / 167卷 / 01期
基金：
加拿大自然科学与工程研究理事会;
关键词：
bidirectional associative memory; delay; Hopf bifurcation; Liapunov functional; neural networks; stability;
D O I：
10.1016/j.cam.2003.09.047
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In addition to giving some delay-independent conditions for global stability of the bidirectional associative memory neural networks with delays, we perform analysis of local stability and Hopf bifurcation. We also work out an algorithm for determining the direction and stability of the bifurcated periodic solutions. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码：73 / 90
页数：18
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