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author:

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

Indexed by:

CPCI-S EI 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.

Keyword:

BP neural network Introduction Degree of industry integration Evaluate principal component analysis

Community:

  • [ 1 ] Fuzhou Univ, Ba Fang Logist Coll, Fuzhou 350002, Peoples R China

Reprint 's Address:

  • 钟俊娟

    [Zhong, Junjuan]Fuzhou Univ, Ba Fang Logist Coll, Fuzhou 350002, Peoples R China

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Source :

2012 FIFTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2012), VOL 2

ISSN: 2165-1701

Year: 2012

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: 3

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