An Artificial Neural Network-Based Method for Railway Logistics Network Design

Abstract:

Logistics network design problem has an important position in the railway logistics development, it has aroused great concern both in railway transportation and logistics research fields. This paper proposes a method for railway logistics network design problem based on artificial neural network model. In the logistics network design method, various influencing factors of railway logistics network have been considered. An evaluation index system of a railway transportation enterprise is set up. Self-Organizing Map neural network algorithm has been used for the creation of logistics network nodes initial set. And the layers division of the logistics network has been determined with the help of BP neural network model. Subsequently an empirical study of a railway logistics enterprise is given to certificate the feasibility and accuracy of this railway logistics network design method.

• Periodical: Advanced Engineering Forum (Volumes 6-7)
• Pages: 924-931
• DOI: https://doi.org/10.4028/www.scientific.net/AEF.6-7.924
• Online since: September 2012
• Authors: Dan Zhu Wang, Mao Xiang Lang
• Keywords: BP Neural Network (BPNN), Logistics Network Design, Railway, Self-Organizing Map Neural Network

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