HIGH-SPEED RAILWAY PASSENGERS CHOICES OF TRAVEL FORECAST BASED ON MATLAB NEURAL NETWORK

摘要：

As a newly developing mode of transportation, high-speed railway is expanding its influences on national economy and social life. At present, domestic research on high-speed railway mostly focus on tech level, no systematic and comprehensive research have been done to the aspect of passenger travel. This study taking uses of Matlab 6.6 concentrates on environmental factors effects on travel choices of High-speed railway passengers, building up a forecast model based on BP Artificial Neural network. Through the comparison and analysis of predicted and real data, effectiveness of this method is proved.

关键词： BP Neural network High-speed railway Passenger travel Environmental factors

作者: Gao Yue Li Jing Fan Yuhang

作者单位: School of Economics and Management, Beijing Jiaotong University Shangyuan Road 3, Haidian District, 100044, Beijing, China

会议类型: 国际会议

会议名称: 13th International Conference on Enterprise Information System(第13届企业信息系统国际会议 ICEIS 2011)

会议地点: 北京

会议语种:英文

页码: 2718-2722

在线出版日期: 2011-06-08（万方平台首次上网日期，不代表论文的发表时间）