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author:

Zhong, J. (Zhong, J..) [1]

Indexed by:

Scopus

Abstract:

This paper uses principal component analysis(PCA)- BP neural network model to evaluate the degree of the logistics industry and manufacturing integration, for more complex indicator system on the retention of the large number of indicators of information. The evaluation results demonstrate that the effectiveness of the evaluation models and methods. © 2012 IEEE.

Keyword:

BP neural network introduction; Degree of industry integration; Evaluate; Principal component analysis

Community:

  • [ 1 ] [Zhong, J.]Ba-fang Logistics College, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Zhong, J.]Ba-fang Logistics College, Fuzhou University, Fuzhou, China

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Source :

Proceedings - 2012 5th International Symposium on Computational Intelligence and Design, ISCID 2012

Year: 2012

Volume: 2

Page: 206-209

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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