DocumentCode
2246430
Title
Study on railway freight volume based on mixed neural network technology
Author
Xu, Yong-chun ; Han, Zhen-fang ; Guan, Jin-yu
Author_Institution
Dept. of Math., Hebei North Univ., Zhangjiakou, China
Volume
2
fYear
2010
fDate
11-14 July 2010
Firstpage
1023
Lastpage
1026
Abstract
This paper adopts the mixed neural network to forecast the railway freight volume. It determines the characteristic parameters and the number of the neurons of input layer and hidden layer based on the freight volume previously. Finally this paper establishes a model of mixed neural network to forecast the railway freight volume.
Keywords
forecasting theory; freight handling; neural nets; railways; forecasting method; neural network; neurons; railway freight volume; Artificial neural networks; Companies; Forecasting; Genetics; Machine learning; Rail transportation; Training; Forecasting methods; Freight volume; Mixed neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580623
Filename
5580623
Link To Document