New conditions on global stability of Cohen-Grossberg neural networks

被引：117
作者：
Lu, WL [1 ]
Chen, TP [1 ]
机构：
[1] Fudan Univ, Lab Nonlinear Sci, Math Inst, Shanghai 200433, Peoples R China
来源：
NEURAL COMPUTATION | 2003年 / 15卷 / 05期
关键词：
D O I：
10.1162/089976603765202703
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this letter, we discuss the dynamics of the Cohen-Grossberg neural networks. We provide a new and relaxed set of sufficient conditions for the Cohen-Grossberg networks to be absolutely stable and exponentially stable globally. We also provide an estimate of the rate of convergence.
引用
收藏
页码：1173 / 1189
页数：17
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