• DocumentCode
    2461853
  • Title

    Applied research on wastewater treatment based on least squares support vector machine

  • Author

    Liang, Liming ; Xie, Fumin

  • Author_Institution
    Sch. of Mech. & Electron. Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    4825
  • Lastpage
    4827
  • Abstract
    In view of lots of problems such as the time-delay caused by wastewater indices off-line analysis and a long sampling interval in industrial manufacturing process, a sewage treatment soft measurement method based on least squares support vector machine is proposed in this paper. The simulation results show that the method in this paper is feasible and has a lot of merits such as high precision, fast speed, lower secondary pollution, etc, and this method also supply a theoretical guidance for realization in real-time on-line examination of the sewage.
  • Keywords
    least squares approximations; sampling methods; sewage treatment; support vector machines; wastewater treatment; industrial manufacturing process; least squares support vector machine; sampling interval; sewage treatment soft measurement method; wastewater indices offline analysis; wastewater treatment; Atmospheric measurements; Educational institutions; Medical services; Particle measurements; Presses; Support vector machines; Wastewater treatment; least squares support vector machine (LSSVM); particle swarm optimization algorithm (PSO); soft measure; water quality parameters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5965392
  • Filename
    5965392