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author:

Chen, B. (Chen, B..) [1] | Fu, L. (Fu, L..) [2]

Indexed by:

Scopus

Abstract:

This paper aims at seeking the intrinsic relationship between regional economy and regional logistics so as to provide the necessary decision-making data and basis for the Hercyian logistics planning. On the basis of the analysis and comparison of various forecasting methods, forecasting models of logistics demand in Hercynian region will be constructed and logistics demand in Hersycian region will also be forecasted. The approach to the neural network model applied by this paper offers the forecast of regional logistics demand a new way of thinking and method. © 2010 ASCE.

Keyword:

China; Forecasting; Logistics; Neural networks

Community:

  • [ 1 ] [Chen, B.]School of Humanities and Social Science, Fuzhou Universtiy, 350108, Fuzhou, China
  • [ 2 ] [Fu, L.]Lianyungang Technical College, Jiangsu 222000, Lianyungang, China

Reprint 's Address:

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    [Chen, B.]School of Humanities and Social Science, Fuzhou Universtiy, 350108, Fuzhou, China

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Source :

ICLEM 2010: Logistics for Sustained Economic Development - Infrastructure, Information, Integration - Proceedings of the 2010 International Conference of Logistics Engineering and Management

Year: 2010

Volume: 387

Page: 4140-4146

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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