利用重合度理论和构造Lyapunov泛函,得到了带时滞的脉冲二阶Hopfield神经网络的周期解全局稳定性充分性条件.
In this paper,we derive some sufficient conditions for global exponential stability of periodic solution of impulsive second-order Hopfield neural networks with time delays by using coincidence degree theory and constructing Lyapunov functional.