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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580623
