Asymptotic stability of feedback neural networks with time-delay

This paper analyzes feedback neural networks with time-delay by discussing asymptotic stability of equilibrium point for a class of recurrent neural networks with time delay. Under certain assumptions, we obtain the sufficient conditions for asymptotic stability of equilibrium point and the asymptotic stability convergence of the trajectory. An example is given to illustrate the feasibility of the neural networks.