Globally exponential stability of stochastic neural networks with delay
随机时滞神经网络的全局指数稳定性

Firstly,the asymptotic property of general stochastic system is discussed,and then the global exponential stability of a class of stochastic neural networks with delay is analyzed by making use of the characteristic of neural network and the Lyapunov second method.New algebraic criteria that can be easily used to verify the almost exponential stability of the stochastic neural networks with delay are proposed.An example is given for illustration.