Share This Article:

Application of Artificial Neuron Network in Analysis of Railway Delays

Full-Text HTML XML Download Download as PDF (Size:331KB) PP. 59-68
DOI: 10.4236/jss.2016.411005    939 Downloads   1,463 Views
Author(s)

ABSTRACT

Punctuality is a key performance indicator of train freight transport. However, train delay arises often in the practice. To improve the efficiency of cargo train, prediction of train delay is always an important research area. In this paper, a prediction model is established on the base of artificial neural network (ANN). Due the endogen drawback of ANN, Genetic Algorithm is adopted to improve the performance of ANN. Consequently, an experiment is design to train and test the ANN-based model by a set of data from the practice. The results of the experiment demonstrate the significant propagation ability of the model.

Cite this paper

Hu, J. and Noche, B. (2016) Application of Artificial Neuron Network in Analysis of Railway Delays. Open Journal of Social Sciences, 4, 59-68. doi: 10.4236/jss.2016.411005.

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.