摘要
现有的各种驼峰速度控制系统大多属开环系统，本文将神经网络学习算法引入速度控制系统达到系统闭环的效果。提出了一种直接控制的自适应神经元模型和神经网络结构，以及一种快速学习算法（ＦＬＡ），并把该神经网络和算法用于驼峰速度控制系统。
It is well known that most of existing humping speed control systems are contained based on the open loop control systems.In this paper,a neural network learning algorithm method is introduced to the speed control systems to realize the closed loop control.A class of neural networks containing direct controlled adaptive neuron and the corresponding fast learning algorithm method are proposed for developing this new humping speed control system.The simulated results by computer show that the methods are very effective.
出处
《铁道学报》
EI
CSCD
北大核心
1996年第5期69-74,共6页
Journal of the China Railway Society
基金
国家863计划资助课题
关键词
神经元
神经网络
速度控制
驼峰溜放
neuron
neural network
learning algorithm
speed control
