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基于全局Lipschitz连续激励函数方法探讨了带有时滞的变系数Hopfield神经网络模型,借助不动点和Lyapunov泛函数确保给定的神经网络的全局渐进稳定.
Based on the global Lipschitz continuous excitation function method, a variable coefficient Hopfield neural network model with time delay is discussed. The global asymptotic stability of a given neural network is guaranteed by the fixed point and Lyapunov functional.