神经网络有几种不同的拓扑结构，但是最简单的一种是前馈网络。
Neural networks have several different topologies, but the simplest is known as a feedforward network.
提出一种基于系统结构的拟神经网络建模与优化原理及拓扑结构。
A novel principium and topology of modeling and optimizing is introduced, which employs like-neural networks based on system architecture.
径向基函数神经网络是一种拓扑结构简单、学习过程透明的神经网络模型。
Radial Basis Function Neural Network is a kind of Neural Networks which have simple topological structure and clear learn procedure.
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