• DocumentCode
    2763148
  • Title

    The Application BP Neural Network Improved and Fuzzy Quality Synthetic on Electric Power Business Economic Benefit

  • Author

    Liu, Shuliang ; Bai, Yanling ; Zou, Congyi

  • Author_Institution
    Economic Manage. Dept., North China Electr. Power Univ., Baoding, China
  • Volume
    2
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    369
  • Lastpage
    372
  • Abstract
    Under of the market economy condition, enterprise´s economic efficiency is one of factors determining the enterprise survival and development, and is playing more and more vital role. Therefore, as one kind of advanced productive forces and the basic industry, the electric power enterprise´s economic efficiency has promotion effect on promoting the national economy development and the social progress, also became a matter which the investor and produces the operator concerned. In order to make the correct decision-making by the investor and the operator and promote the national economy fast growth, this article constructs the evaluating indicator system which sets several reasonable economic efficiencies, and has used the BP neural network and fuzzy quality synthetic to analoy the electric power enterprise´s economic efficiency of several provinces, Thus helping enterprise find the potential or insufficient in the implementation of enhancing in the economic efficiency activity, learning the lessons, flawing the atonement, it is important to promote enterprise´s economic efficiency.
  • Keywords
    Appraisal; Economic indicators; Energy management; Environmental economics; Fuzzy neural networks; Industrial economics; Industrial relations; Neural networks; Power generation economics; Power system economics; BP neural network; Economic efficiency; Electric power enterprise; Fuzzy appraisal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
  • Conference_Location
    Wuhan, China
  • Print_ISBN
    978-0-7695-3972-0
  • Electronic_ISBN
    978-1-4244-5924-7
  • Type

    conf

  • DOI
    10.1109/CESCE.2010.170
  • Filename
    5493304