一种直接控制神经元模型及其在列车停车控制中的应用

本文提出了一种直接控制的神经元模型，并用它构成了前馈神经网络，该网络在用ＢＰ学习算法学习时，提出了变学习步长和势态项系统的方法。并且该网络在特殊情况下，其输出可直接受输入神经元控制，把该神经元所构成的前馈网络应用于列车停车控制中。

A Direct Controlled Neuron Model and Its Application in the Control of Train Stopping

A direct controlled neuron model is proposed and used for constructing feedforward neural network.And,an approach concerning the variation of learning step and the momentum rate coefficient is also presented when the network is trained by back-propagation algorism training.In addition,the outputs of this neural network can be controlled by input neuron under some special circumstances.This neuron-based feedforward neural network has been applied in the control system for train stopping.