Adaptive synchronization of stochastic neural networks with unbounded distributed delays

摘要：

In this paper,adaptive synchronization of stochastic neural networks with distributed delays is investigated.By using the Lyapunov functional method and Itos formula,some sufficient conditions ensuring global asymptotical stability in mean square for the error system are derived.Numerical simulations are carried out to illustrate the theoretical results.

关键词： adaptive synchronization stochastic neural network distributed delay Lyapunov functional

作者: Xiao Zhang Rui Xu Xihong Zhang

作者单位: Institute of Applied Mathematics Shijiazhuang Mechanical Engineering College Shijiazhuang.P.R.China Department of Computer Engineering Shijiazhuang Mechanical Engineering College Shijiazhuang,P.R.Chin

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 430-434

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）