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中文摘要：
研究了一类具有多个时滞的随机神经网络的均方指数稳定性问题，应用Lyapunov—Krasovskii泛函稳定理论和线性矩阵不等式（LMI）方法，建立了该系统解的指数稳定判别准则，最后通过数值举例阐述了结果的有效性．
英文摘要：
This paper studies mean square exponential stability for a class of stochastic neural networks with multiple constant or time-varying delays. Based on the Lyapunov-Krasovskii stability theory, new stability criterion is derived in terms of the linear matrix inequalities （LMIs） for these networks. Some examples are also presented as illustration.
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