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Global exponential periodicity of a class of bidirectional associative memory networks with finite distributed delays

被引：14
|
作者：
Yang, XF [1 ]
Li, CD
Liao, XF
Evans, DJ
Megson, GM
机构：
[1] Chongqing Univ, Dept Comp Sci & Engn, Chongqing 400044, Peoples R China
[2] Univ Loughborough, Parllelism Algorithms & Architectures Res Ctr, Dept Comp Sci, Loughborough LE11 3TU, Leics, England
[3] Univ Reading, Sch Syst Engn, Dept Comp Sci, Reading RG6 6AY, Berks, England
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2005年 / 171卷 / 01期
关键词：
bidirectional associative memory network; finite distributed delay; global exponential periodicity; Lyapunov functional;
D O I：
10.1016/j.amc.2005.01.029
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, we study the periodic oscillatory behavior of a class of bidirectional associative memory (BAM) networks with finite distributed delays. A set of criteria are proposed for determining global exponential periodicity of the proposed BAM networks, which assume neither differentiability nor monotonicity of the activation function of each neuron. In addition, our criteria are easily checkable. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码：108 / 121
页数：14
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