Dynamic analysis of stochastic delayed cellular neural networks  

作　　者：朱恩文 王勇 邹捷中 

机构地区：[1]School of Mathematic Sciences and Computing Techniques, Central South University [2]Dept. of Mathematics, Harbin Institute of Technology

出　　处：《Journal of Harbin Institute of Technology(New Series)》2006年第6期658-661,共4页哈尔滨工业大学学报（英文版）

基　　金：Sponsored by the National Natural Science Foundation of China (Grant No.10171009) and the Natural Science Foundation of Heilongjiang Province(Grant No.A200605).

摘　　要：The stability of stochastic delayed cellular neural networks(DCNNs) is investigated in this paper. Under the help of Lyapunov functional and the semimartingale convergence theorem, some sufficient criteria were obtained to check the almost sure exponential stability of the DCNNs.The stability of stochastic delayed cellular neural networks （DCNNs） is investigated in this paper. Under the help of Lyapunov functional and the semimartingale convergence theorem, some sufficient criteria were obtained to check the almost sure exponential stability of the DCNNs,

关 键 词：Cellular neural network Almost sure exponential stability Lyapunov functional 

分 类 号：O211.63[理学—概率论与数理统计]