• DocumentCode
    2821189
  • Title

    Combined Model for Forecasting Based on Positive Weights and Its Application in the Economy

  • Author

    Shen, Cungen ; Zhang, Wenzhen

  • Author_Institution
    Sch. of Bus., Hohai Univ., Nanjing, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The combined forecasting and the way of improving such forecasting methodology through optimized combination and recursion is the focus of this paper; the GMDH is applied to select variables relevant to economic forecasting models before establishing a single forecasting model such as regression model and neural network model; and the final step is to establish a combined forecasting model through positive weights by using the time series model established based on the GMDH.
  • Keywords
    economic forecasting; time series; economic forecasting model; forecasting methodology; neural network model; regression model; time series model; Artificial neural networks; Economic forecasting; Economic indicators; Neural networks; Optimization methods; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5363587
  • Filename
    5363587