DocumentCode
2810916
Title
Improved Neural Network Model Application with Information Entropy
Author
Ren Xiangyang ; Li Xin
Author_Institution
Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
The fourth party logistics (4PL) is a new logistics form and it´s the result of professional and integrative logistics. The appraisal to the 4PL enterprise´s core competence is imperative under the situation. The paper analyzed the 4PL enterprise´s core competence, and established the index system of 4PL enterprise´s core competence. On the basis of investigation about indexes of the 4PL enterprise´s core competence, the paper established the improving neural network model with information entropy. Then, the paper applied information entropy to reduce index system, and found out more proper appraisal indexes of the 4PL enterprises. Then it used improved BP neural network model to appraise the 4PL enterprise´s core competence. Via case analysis, proved this method´s tangibility and validity to appraise the 4PL enterprise´s core competence.
Keywords
backpropagation; entropy; logistics; neural nets; 4PL enterprise core competence; BP neural network; case analysis; fourth party logistics; index system; information entropy; integrative logistics; professional logistics; Appraisal; Concrete; Coordinate measuring machines; Educational products; Educational technology; Engineering management; Information entropy; Logistics; Neural networks; Optimized production technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5362990
Filename
5362990
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