首页 | 本学科首页   官方微博 | 高级检索  
     

具有混合时滞和脉冲效应的随机反应扩散Cohen-Grossberg神经网络的指数稳定性
引用本文:杜艳可,徐瑞. 具有混合时滞和脉冲效应的随机反应扩散Cohen-Grossberg神经网络的指数稳定性[J]. 生物数学学报, 2013, 0(4): 643-648
作者姓名:杜艳可  徐瑞
作者单位:军械工程学院应用数学研究所,河北石家庄050003
基金项目:国家自然科学基金资助项目(11071254);河北省自然科学基金资助项目(A2013506012)
摘    要:研究了一类具有混合时滞和脉冲效应的随机反应扩散Cohen—Grossberg神经网络模型,应用M-矩阵,It微分公式和分析技巧,得到了模型平衡点的全局均方指数稳定性的充分条件,所得结果推广了已有的工作.

关 键 词:随机Cohen—Grossberg神经网络  反应扩散  时滞  脉冲效应  均方指数稳定性

Exponential Stability of Stochastic Reaction-diffusion Cohen-Grossberg Neural Networks with Mixed Time Delays and Impulsive Effect
DU Yan-ke,XU Rui. Exponential Stability of Stochastic Reaction-diffusion Cohen-Grossberg Neural Networks with Mixed Time Delays and Impulsive Effect[J]. Journal of Biomathematics, 2013, 0(4): 643-648
Authors:DU Yan-ke  XU Rui
Affiliation:(Institute of Applied Mathematics, Shijiazhuang Mechanical Engineering College, Shijiazhuang Hebei 050003 China)
Abstract:A class of stochastic reaction-diffusion Cohen-Grossberg neural networks with mixed time delays and impulsive effect is investigated. By employing M-matrix theory, It6 dif- ferential formula and analysis technique, a sufficient condition is obtained to ensure the globally mean square exponential stability of the equilibrium to the model, and some previously published results are improved.
Keywords:Stochastic Cohen-Grossberg neural network  Reaction-diffusion  Time delay  Impulsive effect  Mean square exponential stability
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号