研究了含时变脉冲Hopfield型神经网络的全局指数稳定性.通过构造恰当的Lyapunov函数和应用比较方法,得到该模型在含有时变脉冲条件下全局指数稳定的充分条件.用数值实例说明所得结果的有效性.
In this paper,the global exponential stability of Hopfield neural network with time-varying Im- pulses is investigated. By using Lyapunov funetionals and comparative methods,a sufficient eondition is provided to ensure the global exponential stability of Hopfield neural network with time-varying impul- ses. A numerical example is given to illustrate the effectiveness of the theoretical results.