Global stability of Bidirectional associative memory neural networks with variable coefficients and S-type distributed delays

被引：0
|
作者：
Kao, Yonggui [1 ]
Gao, Cunchen
Wu, Lu
Ming, Qinghe
机构：
[1] Ocean Univ China, Coll Informat Sci & Engn, Qingdao 266071, Peoples R China
[2] Ocean Univ China, Dept Math, Qingdao 266071, Peoples R China
来源：
NEURAL INFORMATION PROCESSING, PT 1, PROCEEDINGS | 2006年 / 4232卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper is devoted to investigation of the global asymptotic stability for Bidirectional associative memory (BAM) neural networks with variable coefficient and S-type distributed signal transmission delays along the axon of a neuron. Some sufficient conditions for global asymptotic stability of the networks was obtained, in which the boundedness and differentiability of the signal functions in some papers are deleted. Some examples are also presented to show that our results are new and improve the previous results.
引用
收藏
页码：598 / 607
页数：10
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