• DocumentCode
    3457148
  • Title

    An Evaluation Model on Employee Performance Based on Improved BP Neural Network

  • Author

    Yang, Shaomei ; Qian Zhu

  • Author_Institution
    Econ. & Manage. Dept., North China Electr. Power Univ., Baoding
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Employee is the masses foundation and impetus for organization development and expansion, through understanding and evaluating employee correctly, the enterprise not only can impel employee effectively, but also can guarantee the organization rapid and sustainable development. To address the problem about index established and reasonable quantified during the employee performance evaluation, this paper establishes the more comprehensive evaluation index system including capacity, character and knowledge, and describes the evaluating mechanism based on improved BP neural network. The performance evaluation of 10 employees in a certain enterprise shows that the results given by this model are reliable, and this method to evaluate employee performance is feasible.
  • Keywords
    backpropagation; neural nets; organic-inorganic hybrid materials; personnel; sustainable development; BP neural network; employee performance; evaluation index system; evaluation model; organization development; sustainable development; Educational institutions; Energy management; Ethics; Finance; Financial management; Law; Neural networks; Power generation economics; Production; Sustainable development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.1728
  • Filename
    4679917