• DocumentCode
    3062376
  • Title

    Runoff forecasting using fuzzy support vector regression

  • Author

    Wiriyarattanakul, Sopon ; Auephanwiriyakul, Sansanee ; Theera-Umpon, Nipon

  • Author_Institution
    Dept. of Comput. Eng., Chiang Mai Univ., Chiang Mai
  • fYear
    2009
  • fDate
    8-11 Feb. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The Runoff forecasting is an important factor in river basin management. In this paper, we use fuzzy support vector machine regression (FSVMR) to predict the Runoff of Yom River at Sukhothai province, Thailand. The results show that the FSVMR is a suitable method in forecasting runoff.
  • Keywords
    forecasting theory; fuzzy set theory; hydrological techniques; rivers; support vector machines; Yom River; fuzzy support vector regression; river basin management; runoff forecasting; Communication systems; Floods; Intelligent structures; Load forecasting; Neural networks; Rivers; Signal processing; Support vector machines; Training data; Wind forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communications Systems, 2008. ISPACS 2008. International Symposium on
  • Conference_Location
    Bangkok
  • Print_ISBN
    978-1-4244-2564-8
  • Electronic_ISBN
    978-1-4244-2565-5
  • Type

    conf

  • DOI
    10.1109/ISPACS.2009.4806713
  • Filename
    4806713
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3062376