• 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