Abstract
In this article, the qualitative analysis of general discrete-time recurrent neural networks with impulses is discussed. First, a sufficient condition and a sufficient and necessary condition for existence and uniqueness of the equilibrium point of this neural networks are given with the help of degree theory; second, some sufficient rules for the global exponential stability of this neural networks are obtained by using Lyapunov function; finally the instability of the equilibrium is studied.
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