Prediction by Artificial Neural Network on Chinas Freight Traffic from 1995 to 2007

摘要：

The forecasting to a nations freight and its turnover is an important thing for the development of transportation industry ard even national economy. Based on the analysis using Backpropagation Algorithm in artificial neural network and time series forecasting methods in Microsoft Excel to Chinas transportation volume from 1995 to 2007,the paper try to find the algorithm to effectively predict transportation every year,and then predict the transportation volume of the year 2008.

关键词： Freight traffic freight traffic turnover BP NN forecasting time-series analysis forecasting

作者: YANG Huijun Qi Ershi WU Juan ZHAO Shiyi LIU Xianfeng

作者单位: School of Management,Tianjin University,Tianjin,P.R.China The Academy of Military Transportation PLA School of Management,Tianjin University,Tianjin,P.R.China The Academy of Military Transportation PLA.Tianjin,P.R.China

会议类型: 国际会议

会议名称: 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management(IEEE第16届工业工程与工程管理国际学术会议)

会议地点: 北京

会议语种:英文

页码: 1794-1797

在线出版日期: 2009-10-21（万方平台首次上网日期，不代表论文的发表时间）