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author:

Ye, C. (Ye, C..) [1] | Huang, M.-T. (Huang, M.-T..) [2]

Indexed by:

Scopus

Abstract:

Grain logistics is an important logistical support of national economic development. For a long time, grain logistics in China more use the way of package transport which is inefficient and wasteful. In recent years, China gradually began to carry out the transport way in four bulks mode around, and achieved some success. This paper combines the method of quantitative and qualitative and predict the amount of bulk grain logistics through waterway in Fujian next two years. Based on the multiple indicator selection, the paper establishes BP neural network prediction model and use MATLAB for quantify achieve. Comparison with the results, the paper could provide some useful advises for future four bulks mode engineering.

Keyword:

BP neural network; Four bulks mode; Grain logistics; Prediction of logistics amount

Community:

  • [ 1 ] [Ye, C.]Institute of Economy and Management, Fuzhou University, Fuzhou, China
  • [ 2 ] [Huang, M.-T.]Institute of Economy and Management, Fuzhou University, Fuzhou, China

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Source :

5th International Conference on Logistics and Supply Chain Management 2015

Year: 2015

Page: 19-25

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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