• DocumentCode
    2114201
  • Title

    A prediction model for Yellow River break-up dates based on extenics data mining

  • Author

    Zhong Li ; Xinfang Chen ; Ailing Wang ; Yu Guoqing

  • Author_Institution
    Inf. Eng. Dept., Inst. of Disaster Prevention Sci. & Technol., Sanhe, China
  • fYear
    2013
  • fDate
    23-25 July 2013
  • Firstpage
    1075
  • Lastpage
    1079
  • Abstract
    To predict the break-up date of the Yellow River, this paper analyzes a couple of factors contributing to the break-up date of the Yellow River, creates a forecast evaluation index system and builds an extenics data mining-based break-up date prediction model. The practical calculation shows that the next year prediction error is 0 and below 5% in two years. The model is feasible to predict the break-up date of the Yellow River.
  • Keywords
    data mining; geophysics computing; rivers; Yellow River break-up dates; extenics data mining-based break-up date prediction model; forecast evaluation index system; next year prediction error; Data mining; Ice thickness; Indexes; Predictive models; Rivers; Water resources; Break-up date of the Yellow River; Extenics data mining; Prediction model; Toudaoguai;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2013 10th International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/FSKD.2013.6816356
  • Filename
    6816356