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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Päätekijät:	Yan Sun, Maoxiang Lang, Danzhu Wang, Linyun Liu
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	OmniaScience 2014-05-01
Sarja:	Journal of Industrial Engineering and Management
Aiheet:	railway freight volume, prediction model, neural network, GRNN, smoothing parameter, PSO algorithm
Linkit:	http://www.jiem.org/index.php/jiem/article/view/1007
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