STABILITY ANALYSIS OF NEURAL NETWORKS WITH INFINITE TIME-VARYING DELAY

This paper studies the globally exponential stability of the neural network with infinite time varying delay.Assuming that the input output neuron activation functions are bounded and satisfy the global Lipschitz condition,some sufficient conditions of the globally exponential stability of unique equilibrium of the neural network are derived.And this paper improves the results of some existed literatures without time delay.