• DocumentCode
    1828986
  • Title

    Notice of Retraction
    Enterprise Human Resource Management Outsourcing Decision-Making Model Based on BP Neural Network

  • Author

    Lin Li ; Hui Zhu

  • Author_Institution
    Sch. of Bus. Adm., Hunan Univ., Changsha, China
  • fYear
    2010
  • fDate
    15-16 May 2010
  • Firstpage
    184
  • Lastpage
    187
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    This paper will be the characteristics of human resource management outsourcing factors were analyzed quantitatively, and a trial use of BP neural network model theory, to borrow Matlab neural network toolbox to build the human resources management outsourcing decision-making model. The simulation results show that decision-making model is satisfactory and thus proving the model feasible and effective. And it shows that the model can help companies to do more scientific human resource management outsourcing decision-making.
  • Keywords
    backpropagation; business data processing; decision making; human resource management; neural nets; outsourcing; BP neural network; Matlab neural network toolbox; enterprise human resource management outsourcing decision-making model; Artificial neural networks; Decision making; Human resource management; Humans; Mathematical model; Outsourcing; Training; BP neural network; Human resources management; outsourcing decision-making model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Simulation and Visualization Methods (WMSVM), 2010 Second International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-7077-8
  • Type

    conf

  • DOI
    10.1109/WMSVM.2010.42
  • Filename
    5558326