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

页码：615 / 618

页数：4

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