一类双向联想记忆神经网络概周期解的全局渐近稳定性

Global Asymptotic Stability of Almost Periodic Solution for Certain BAM Neural Networks

利用Bananch空间中的不动点定理、指数二分法和Lyapunov函数方法研究了一类分布时滞双向联想记忆神经网络概周期解的全局渐近稳定性,实例说明了判据的有效性.

Sufficient conditions for the global asymptotic stability of almost periodic solution for BAM neural networks with continuously distributed delays are established in Banach space by using the fixed point theorem,exponential dichotomy and constructing Lyapunov function. An example is given to evaluate the availability of the proceeding result.