离散双向耦合记忆神经网络的指数稳定性

Exponential Stability of the Equilibrium Point for Discrete BAM Neural Networks

研究离散双向耦合记忆神经网络平衡点指数稳定性.这种网络模型带有多重时滞,通过B rouwer不动点理论以及相关不等式技巧来讨论这种网络平衡点的指数稳定性.

By applying the Brouwer＇s fixed-point theory and the relevant techniques of inequality, the exponential stability for the equilibrium point of discrete BAM neural networks was discussed. These networks have multiple time-delays.