• DocumentCode
    2410628
  • Title

    The Study of Model Selection Method on Intelligent Prediction System and Its Applications

  • Author

    Zhong, Yihua ; Li, Lina ; Wang, Yu

  • fYear
    2011
  • fDate
    21-23 Oct. 2011
  • Firstpage
    317
  • Lastpage
    320
  • Abstract
    With the problem about the forecasters of complex dynamic system how to select the optimal predictive model from so many forecast methods and models, this paper comprehensively applied the method of survey analysis and comparison to find the best point connecting the intelligence forecasting system and complex dynamic system, researched the mechanism of the model selection about Intelligent Forecasting System, and presented the intelligent selection method of oilfield output prediction model for oilfield production forecast system. The idea and method of model selection can be used for other model selection of similar complex systems. The results of this paper can provide theoretical foundation for the study of the oilfield production intelligent forecasting system.
  • Keywords
    Adaptation models; Computational modeling; Data models; Forecasting; Predictive models; Production; complex dynamic systems; intelligent forecasting; model selection; oilfield production; reasoning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2011 International Conference on
  • Conference_Location
    Chengdu, China
  • Print_ISBN
    978-1-4577-1540-2
  • Type

    conf

  • DOI
    10.1109/ICCIS.2011.301
  • Filename
    6086199