A PSO-GRNN Model for Railway Freight Volume Prediction: Empirical Study from China

<p><strong>Purpose:</strong> The purpose of this paper is to propose a mathematical model for the prediction of railway freight volume, and therefore provide railway freight resource allocation with an accurate direction. With an accurate railway freight volume prediction, railway freight enterprise...

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Detalhes bibliográficos

Principais autores:	Yan Sun, Maoxiang Lang, Danzhu Wang, Linyun Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	OmniaScience 2014-05-01
Colecção:	Journal of Industrial Engineering and Management
Assuntos:	railway freight volume, prediction model, neural network, GRNN, smoothing parameter, PSO algorithm
Acesso em linha:	http://www.jiem.org/index.php/jiem/article/view/1007
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