• DocumentCode
    1560691
  • Title

    Research on modeling method of artificial neural network based on DEA

  • Author

    Wu, Caicong ; Xiuwan Chen ; Yang, Yinsheng

  • Author_Institution
    Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
  • Volume
    3
  • fYear
    2004
  • Firstpage
    2005
  • Abstract
    A modeling method of artificial neural network (ANN) is proposed. Experimental data were evaluated and projected by using data envelopment analysis (DEA), a widely used method to evaluate relative efficiency between decision making units. The data would become more scientific and reasonable, and all of them could be used for the modeling of ANN. Example shows that the model of ANN, which is gained by training these data, is DEA effective. Hence, it is a new method for optimal data utilizing and modeling. This method is useful to the research, which may only get limited and high cost data after several times or several years of experiments.
  • Keywords
    data envelopment analysis; decision making; learning (artificial intelligence); modelling; neural nets; ANN modeling; ANN training; artificial neural network; data envelopment analysis; decision making units; Artificial neural networks; Costs; Data envelopment analysis; Decision making; Electronic mail; Remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
  • Print_ISBN
    0-7803-8273-0
  • Type

    conf

  • DOI
    10.1109/WCICA.2004.1341933
  • Filename
    1341933