一类变时滞递归神经网络概周期解的存在性

Existence of Almost Periodic Solutions for a Class of Static Recurrent Neural Networks with Variabled

利用拓扑度理论,不等式技巧及Liapunov泛函方法,给出了判别变时滞静态递归神经网络概周期解存在性的充分条件。

By using topological degree theory, inequality techniques and Liapunov functional methods, we give the sufficient condition of existence, that the discriminant variable delay static recursive neural network almost periodic solution .