Title :
Prediction by artificial neural network on China´s freight traffic from 1995 to 2007
Author :
Yang Huijun ; Qi Ershi ; Wu Juan ; Zhao Shiyi ; Liu Xianfeng
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin, China
Abstract :
The forecasting to a nation´s freight and its turnover is an important thing for the development of transportation industry and even national economy. Based on the analysis using Backpropagation Algorithm in artificial neural network and time series forecasting methods in Microsoft Excel to China´s 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.
Keywords :
backpropagation; freight handling; neural nets; time series; transportation; Microsoft Excel; artificial neural network; backpropagation algorithm; freight traffic; national economy; time series forecasting methods; transportation industry; Artificial neural networks; Backpropagation algorithms; Demand forecasting; Economic forecasting; Humans; Neural networks; Telecommunication traffic; Time series analysis; Traffic control; Transportation; BP NN forecasting; Freight traffic; forecasting; freight traffic turnover; time-series analysis;
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
DOI :
10.1109/ICIEEM.2009.5344319
