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本文利用Lyapunov函数方法研究了连续Hopfield型神经网络的指数稳定性问题 ,得到了平衡点的全局指数稳定性的两个新的充分条件 ,这两个条件对于神经计算与神经网络设计具有重要的理论意义和应用价值
In this paper, the Lyapunov function method is used to study the exponential stability of continuous Hopfield neural networks, and two new sufficient conditions for the global exponential stability of the equilibrium point are obtained. These two conditions have important theories for neural computation and neural network design Meaning and application value