Stability of second order Hopfield neural networks with time delays
Dynamical behaviors of a class of second order Hopfield neural networks with time delays is investigated.The existence of a unique equilibrium point is proved by using Brouwer's fixed point theorem and the counter proof method,and some sufficient conditions for the global asymptotic stability of the equilibrium point are obtained through the combination of a suitable Lyapunov function and an algebraic inequality technique.
Hopfield neural networkLyapunov functionexistence and uniquenessglobal asymptotic stability
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