High-speed Rail Train Plan Evaluation Based on Fuzzy Artificial Neural Network

摘要：

It is particularly important that how to formulate efficient and feasible operation scheme when specific cases occurred in. For the specific operating conditions the paper runs the corresponding evaluation index system, gives the membership function, and establish operation scheme evaluation model of special operation conditions. Based on the BP network and RBF network , it process comparative study for the same case. The simulation results show that the RBF neural network is more excellence in classification ability and learning speed than BP neural network.

关键词： special operation conditions dispatching plan BP neural network RBF neural network

作者: DU Yanping ZHANG Zhenhua CUI Deshan JIA Limin Qin Yong

作者单位: Rail Traffic Control and Safety State Key Laboratory,Beijing Jiaotong University,Beijing, 100044, Ch School of electronic-information Engineering,Taiyuan University of Science and Technology, Taiyuan,0 Passengers-dedicated Line Technical Division of Transportation Bureau under Ministry of Railways, Be Rail Traffic Control and Safety State Key Laboratory, Beijing Jiaotong University,Beijing, 100044, C

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 311-314

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）