• DocumentCode
    1968823
  • Title

    Application of support vector machine in online monitoring of wastewater treatment based on combined kernel functions

  • Author

    Liang, Liming ; Wang, Qichao ; Chen, Yunnen

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
  • fYear
    2011
  • fDate
    16-18 Sept. 2011
  • Firstpage
    3840
  • Lastpage
    3843
  • Abstract
    As for the textile printing and dyeing industry being difficulty to be realized on-line real-time monitoring wastewater treatment, a kind of adjustable linear combination of combined kernel function support vector machine modeling way was put forward. The "acid fuchsine decolorization rate" modeling simulation research, which made in the process of printing and dyeing wastewater treatment, showed that the soft measurement model with high precision, quick speed better generalization ability and robustness can be established, which can well realize the real-time measurement and prediction of wastewater treatment.
  • Keywords
    dyeing; environmental science computing; generalisation (artificial intelligence); support vector machines; textile industry; wastewater treatment; acid fuchsine decolorization rate modeling simulation; combined kernel function; dyeing industry; generalization ability; online monitoring; soft measurement model; support vector machine modeling; textile printing; wastewater treatment; Fitting; Kernel; Mathematical model; Predictive models; Support vector machines; Training; Wastewater treatment; combined kernel function; support vector machine; wastewater treatment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2011 International Conference on
  • Conference_Location
    Yichang
  • Print_ISBN
    978-1-4244-8162-0
  • Type

    conf

  • DOI
    10.1109/ICECENG.2011.6056825
  • Filename
    6056825