Prediction Method of Railway Freight Volume Based on Improved Neural Network
- https://doi.org/10.2991/icence-16.2016.174How to use a DOI?
- Railway Freight Volume; Forecasting; General Regression Neural Network; Genetic Algorithm
Railway freight transportation is an important part of national economy. Accurate forecast of railway freight volume is significant to the planning, construction, operation and decision-making of railways. After analyzing the application status of general regression neural network (GRNN) in prediction method of railway freight volume, this paper improves the performance of this model by using improved neural network. In the improved method, genetic algorithm (GA) is adopted to search the optimal spread which is the only factor of GRNN, and then the optimal spread is used for forecasting in GRNN. Finally, the railway freight volumes in the example are forecasted based on this method.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhida Guo AU - Jingyuan Fu PY - 2016/09 DA - 2016/09 TI - Prediction Method of Railway Freight Volume Based on Improved Neural Network BT - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016) PB - Atlantis Press SP - 936 EP - 940 SN - 2352-538X UR - https://doi.org/10.2991/icence-16.2016.174 DO - https://doi.org/10.2991/icence-16.2016.174 ID - Guo2016/09 ER -