4.1 Article

Robust global exponential stability of Cohen-Grossberg neural networks with time delays

期刊

IEEE TRANSACTIONS ON NEURAL NETWORKS
卷 15, 期 1, 页码 203-206

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2003.822974

关键词

global exponential convergence; M-matrix; neural networks; stability; time delay

向作者/读者索取更多资源

In this letter, we discuss delayed Cohen-Grossberg neural network models and investigate their global exponential stability of the equilibrium point for the systems. A set of sufficient conditions ensuring robust global exponential convergence of the Cohen-Grossberg neural networks with time delays are given.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据