• DocumentCode
    2566024
  • Title

    Research on generalization for grey forecasting model

  • Author

    Li, Cuifeng

  • Author_Institution
    Dept. of Mechartronics, Zhejiang Bus. Technol. Inst., Ningbo
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    3591
  • Lastpage
    3595
  • Abstract
    Based on trigonometric function transformation cos x , a new method for enhancing smooth degree of the standardized discrete data sequence is put forward. It is proved that the smooth degree of the standardized discrete data sequence by using this transformation can be enhanced Moreover, the GM(1,1) model precision based on the transformation is better than the model precision based on logarithmic function transformation and power function transformation. At last, the method is used to build model of total residence number in Shanghai, the precision of the model is up to 98.5%, the practical application shows the effectiveness of the proposed approach.
  • Keywords
    grey systems; Shanghai; generalization; grey forecasting model; power function transformation; standardized discrete data sequence; total residence number; trigonometric function transformation; Predictive models; Discrete data sequence; Function transformation cos x; Grey model; Smooth degree;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597999
  • Filename
    4597999