具有周期输入Hopfield型神经网络的全局渐近性质

On the Asymptotic Behavior of Hopfield Neural Network With Periodic Inputs

在不假定非线性激励函数有界和可微的条件下 。

Without assuming the boundedness and differentiability of the nonlinear activation functions,the new sufficient conditions of the existence and the global exponential stability of periodic solutions for Hopfield neural network with periodic inputs are given by using Mawhin's coincidence degree theory and Liapunov's function method.