• DocumentCode
    3774104
  • Title

    Prediction Model of River Water Level Based on LS-SVM

  • Author

    Ding Haijiao;Che Wengang

  • Author_Institution
    Fac. of Inf. Eng. &
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    647
  • Lastpage
    650
  • Abstract
    In order to predict the changes of water level of natural river, this paper applied the method of LS-SVM, combining with sichuan zigong hydrologic measured water level data and flow data builded a double input single output (water level and flow-water level) river water level prediction model. Through the analysis of the prediction results, can draw the conclusion: The accuracy of the prediction model, which was established by LS-SVM is very high, can meet the needs of the river water level prediction.
  • Keywords
    "Predictive models","Support vector machines","Data models","Rivers","Mathematical model","Kernel","Analytical models"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2015 8th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICICTA.2015.164
  • Filename
    7473380