Hopfield型神经网络的全局渐近稳定性

The Global Asymptotic Stability of Hopfield Neural Networks

讨论了连续Ｈｏｐｆｉｅｌｄ型神经网络的全局渐近稳定性问题，通过利用Ｌｙａｐｕｎｏｖ泛函方法和不等式分析技巧给出了平衡点的全局渐近稳定性的一些充分条件．

In the paper, the global asymptotic stability of comtinuous Hopfieldneural networks are discussed. By using of Lyapunov functional method combiningwith the method of inequality analysis, a sufficient condition is obtained for the globalasymptotic stability of the equilibrium of continuous Hopfield neural networks.