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研究了一类具有变时滞随机神经网络模型平衡点的全局渐近稳定性问题,通过构造李亚普诺夫函数并利用线性矩阵不等式理论,得出了随机变时滞神经网络的全局渐近稳定性的充分条件。
The global asymptotic stability of the equilibrium point for a class of stochastic neural networks with time - varying delays is studied. The global asymptotic stability of stochastic neural networks with time - varying delays is obtained by constructing the Lyapunov function and using the theory of linear matrix inequalities The sufficient conditions.