• DocumentCode
    3000563
  • Title

    Knowledge acquisition from in-operation data for water supply system

  • Author

    Matsuki, Hiroshi ; Fujimoto, Yasutaka

  • Author_Institution
    Yokohama Nat. Univ., Yokohama, Japan
  • fYear
    2011
  • fDate
    14-16 March 2011
  • Firstpage
    77
  • Lastpage
    81
  • Abstract
    This study aims to replicate knowledge of operation for water supply system. The proposed method is able to extract knowledge of operation of experienced operators, and regenerate a plan of operation by using support vector regression. The proposed method can contribute to compensating for reduction of experienced operators.
  • Keywords
    knowledge acquisition; regression analysis; support vector machines; water resources; water supply; knowledge acquisition; support vector regression; water supply system; Artificial neural networks; Education; Estimation; Gallium; Reservoirs; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology (ICIT), 2011 IEEE International Conference on
  • Conference_Location
    Auburn, AL
  • ISSN
    Pending
  • Print_ISBN
    978-1-4244-9064-6
  • Type

    conf

  • DOI
    10.1109/ICIT.2011.5754349
  • Filename
    5754349
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3000563