Stability analysis of stochastic fuzzy recurrent neural networks with time-varying delays

被引：0
|
作者：
Wan, Li [1 ]
Zhou, Qinghua [2 ]
机构：
[1] Wuhan Univ Sci & Engn, Dept Math & Phys, Wuhan 430073, Peoples R China
[2] Zhaoqing Univ, Dept Math, Zhaoqing 526061, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL III, PROCEEDINGS | 2009年
基金：
中国国家自然科学基金;
关键词：
GLOBAL EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY;
D O I：
10.1109/AICI.2009.115
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The stability of stochastic fuzzy recurrent neural networks with time-varying delays is investigated. Without requiring the delay functions are differential, the sufficient conditions are derived to guarantee the mean square exponential stability of an equilibrium solution.
引用
收藏
页码：12 / +
页数：2
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