Almost Sure Exponential Stability of Stochastic Recurrent Neural Networks with Delay

被引：0
|
作者：
Li, Bing [1 ]
机构：
[1] Chongqing Jiaotong Univ, Coll Sci, Chongqing 400074, Peoples R China
来源：
PROCEEDINGS OF THE 7TH CONFERENCE ON BIOLOGICAL DYNAMIC SYSTEM AND STABILITY OF DIFFERENTIAL EQUATION, VOLS I AND II | 2010年
关键词：
neural networks; almost sure exponential stability; semi-martingale convergence theorem;
D O I：
暂无
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
This paper studied almost sure global exponential stable of stochastic recurrent neural networks with constant delay. According to L-operator technique and Lyapunov method, we obtained a sufficient criterion which is interest and new.
引用
收藏
页码：615 / 618
页数：4
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