Global exponential stability in the mean square of stochastic cohen-grossberg neural networks with time-varying and continuous distributed delays

Tian Liang,Yongqing Yang,Manfeng Hu,Yang Liu,Li Li

ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I（2013）

引用 0|浏览0

暂无评分

摘要

In this paper, the global exponential stability in the mean square of stochastic Cohen-Grossberg neural networks (SCGNNS) with mixed delays is studied. By applying the Lyapunov function, stochastic analysis technique and inequality techniques, some sufficient conditions are obtained to ensure the exponential stability in the mean square of the SCGNNS. An example is given to illustrate the theoretical results.

查看译文

关键词

sufficient condition,inequality technique,stochastic analysis technique,exponential stability,mixed delay,stochastic cohen-grossberg neural network,lyapunov function,global exponential stability,mean square,theoretical result

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要