含时滞的双向联想记忆神经网络的全局吸引性和全局指数稳定性

Global attractivity and global exponential stability for delayed bidirectional associate memory neural networks

本文研究了具有时滞的双向联想记忆神经网络模型,在非线性神经元激励函数是Lipschitz连续的条件下,通过构造适当的泛函,得到了该系统的平衡点是全局吸引和全局指数稳定.

In the paper, the global exponential stability and global attractivity are studied for delayed bidirectional associate memory neural networks by constructing suitable Liapunov function, under the hypothesis that the nonlinear neural active fanctions are Lipschtion continuous.