递归神经网络的结构研究

从非线性动态系统的角度出发，对递归动态网络结构及其功能进行详尽的综述。将递归动态网络分为三大类：全局反馈递归网络、前向递归网络和混合型网络。每一类网络又可分为若干种网络。给出了每种网络描述网络特性的结构图，同时还对多种网络进行了功能对比，分析了各种网络的异同。

Structure of recurrent neural networks

From the point of view of nonlinear dynamical system, the structures and functions of recurrent dynamical networks were summarized. The recurrent dynamical networks were classified into three sorts: global feedback recurrent neural networks, global feed-forward recurrent neural networks and mix neural networks. Each kind of networks had its subclasses. The structures describing each network features were given. At the same time, the comparisons among variable different functions of networks were done. The same things and differences on these networks were also analyzed.