New exponential stability criteria for delayed neural networks

被引：0
|
作者：
Li, CD [1 ]
Liao, XF [1 ]
机构：
[1] Chongqing Univ, Coll Comp Sci & Engn, Chongqing 400044, Peoples R China
来源：
PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND BRAIN, VOLS 1-3 | 2005年
关键词：
delayed neural network; time delays; exponential stability; Lyapunov function;
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：
Several new criteria for the exponential stability of delayed neural networks (DNNs) and its corresponding convergence degrees are presented. The proposed criteria do not require that the activation functions are continuous and bounded, and therefore are less restricted and less conservative.
引用
收藏
页码：183 / 186
页数：4
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