• DocumentCode
    2216814
  • Title

    The hydrological time series forecasting based on multi-model combination

  • Author

    Wan, Dingsheng ; Li, Shijin ; Li, Wei

  • Author_Institution
    Coll. of Comput. & Inf., HoHai Univ., Nanjing, China
  • Volume
    1
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    Considering the current forecasting model had limited understanding of watershed hydro meteorological and a single model could hardly reflect the objective laws, by theoretical studying and practicing of combined forecasting method, the hydrological time series forecasting method based on multi-model combination was proposed. This method makes up for the lack of a single model, and makes full use of existing information resources to obtain optimal prediction. In the actual application, combined forecasting method was better than the traditional one.
  • Keywords
    forecasting theory; hydrological techniques; meteorology; time series; water resources; combined forecasting method; forecasting model; hydrological time series forecasting; information resources; multimodel combination; optimal prediction; theoretical studying; watershed hydro meteorological; Approximation methods; Artificial neural networks; Equations; Regression analysis; Yttrium; combined forecasting; data mining; neural network; optimal weighting; sub-hybrid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579073
  • Filename
    5579073