• DocumentCode
    2803948
  • Title

    Application of the BP network evaluation method in desulfurization technology selection of thermo-electricity project

  • Author

    Li, Mingshun ; Liu, Dandan

  • Author_Institution
    Sch. of Traffic & Transp. Eng., Changsha Univ. of Sci. & Technol., Changsha, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    2935
  • Lastpage
    2938
  • Abstract
    There are many kinds of indexes in desulfurization technology selection of thermo-electricity project, between which complicated nonlinear relation is presented. It is difficult to calculate and lack of effective evaluation methods. In this paper, a comprehensive evaluation index system of desulfurization technology selection has been built, the BP neural network evaluation method is applied to desulfurization technology selection, and finally the rationality and feasibility is computed through example. This method provides a new idea for desulfurization technology selection, which is in good value of application.
  • Keywords
    backpropagation; flue gas desulphurisation; neural nets; power engineering computing; thermal power stations; BP network evaluation method; comprehensive evaluation index system; desulfurization technology selection; nonlinear relation; thermoelectricity project; Artificial neural networks; Control systems; Defense industry; Educational institutions; Indexes; Presses; Transportation; desulfurization technology; project selection; the BP network; thermo-electricity project;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5987603
  • Filename
    5987603