安徽大学学报（自然科学版）2013，Vol.37Issue(1)：13-17,5.DOI:10.3969/j.issn.1000-2162.2013.01.003
变时滞随机模糊细胞神经网络的均方指数稳定性分析
Analysis of mean square exponential stability for stochastic fuzzy cellular neural networks with time-varying delays
摘要
Abstract
Applying Lyapunov functional and stochastic analysis technique, the mean square exponential stability of equilibrium for stochastic fuzzy cellular neural networks with time-varying delays was concerned. The fuzzy uncertainty and the external stochastic perturbations were considered in neural networks. Finally, an example was given to show feasibility and effectiveness of our results.关键词
模糊细胞神经网络/布朗运动/Ito公式/均方指数稳定/变时滞Key words
fuzzy cellular neural networks/ Brownian motion/ Ito formula/ mean square exponential stability/ time-varying delays分类
数理科学引用本文复制引用
张千宏,杨利辉,刘璟忠..变时滞随机模糊细胞神经网络的均方指数稳定性分析[J].安徽大学学报（自然科学版）,2013,37(1):13-17,5.基金项目
国家自然科学基金资助项目(1161015) （1161015）
贵州省科技厅科学技术基金资助项目(黔科J字[2011]2096) （黔科J字[2011]2096）
