四川师范大学学报（自然科学版）2012，Vol.35Issue(3)：303-308,6.DOI:10.3969/j.issn.1001-8395.2012.03.003
含混合时滞的随机Hopfiled神经网络的全局指数稳定性
Global Exponential Stability of Stochastic Hopfield Neural Networks with Mixed Time Delays
摘要
Abstract
In this paper, a class of stochastic Hopfield neural network with mixed delays is investigated. Some sufficient conditions are derived to ensure the p-th moment exponential stability of stochastic Hopfield neural network with mixed delays by using Razumikhin method and inequality techniques. The result derived in this paper improves and generalizes some earlier works reported in the literature. A numerical example is given to illustrate the effectiveness of the result.关键词
随机Hopfiled神经网络/混合时滞/Razumikin定理/全局指数稳定Key words
stochastic Hopfield neural networks/ mixed delays/ global exponential stability分类
数理科学引用本文复制引用
胡健,李树勇,杨治国..含混合时滞的随机Hopfiled神经网络的全局指数稳定性[J].四川师范大学学报（自然科学版）,2012,35(3):303-308,6.基金项目
国家自然科学基金(10971147)、四川省应用基础研究基金(2009JY0066)和四川省教育厅自然科学基金(08Z044)资助项目 （10971147）
