带有时滞的随机区间Hopfield神经网络的指数稳定性

摘要

A type of stochastic interval delayed Hopfield neural network had been studied. By using Ito formula and Lya-punov function, some new delay-dependent and delay-independent sufficient conditions of its global exponential stability hadbeen given. All the results obtained were generalizations of some recent results reported in the literature for stochastic neural net-works with constant delays or their certain cases with variable-delays.%讨论了带有可变时滞的随机区间Hopfield神经网络的指数稳定性,利用Ito公式和Lyapunov函数,得到了几个关于其指数稳定时滞无关和时滞相关的充分性条件,推广了现有文献中关于定常时滞随机神经网络及其确定形式的许多结果.