摘要
讨论带有可变时滞的Hopfield神经网络的全局指数稳定性.在非线性激励函数满足Lipschitz条件的假设下,利用推广的Halanay不等式、Dini导数和分析技巧,建立了这类神经网络系统全局指数稳定的几个判别准则.这些判别准则仅仅依赖于系统的参数.
This paper is concerned with the global stability of Hopfield neural networks with time-varying delays. Under assumption that the nonlinear stimulate fractions are Lipscliitz Continuous, by means of generalized Halanay inequalities, Dini＇s derivative and functional analysis techniques, several global exponential stability criteria are established, which are only dependent on the parameters of the system.
出处
《纯粹数学与应用数学》
CSCD
北大核心
2008年第1期179-185,共7页
Pure and Applied Mathematics
基金
广州市科技计划项目(2006j1-C0341)
