• DocumentCode
    509152
  • Title

    Study on Urban Wastewater Discharge Forecasting and Influence Factors Analysis Based on Stochastic Gradient Regression

  • Author

    Huaiyu, Li ; Hongli, Wang ; Guanmin, Li ; Shuangmei, Li ; Jialiang, Guo

  • Author_Institution
    Sch. of Manage., Tianjin Univ., Tianjin, China
  • Volume
    2
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    483
  • Lastpage
    486
  • Abstract
    The prediction of urban wastewater discharge and influence factors analysis plays an important role in protection and development of urban water resources. In this paper, a prediction model of urban wastewater discharge was set up based on stochastic gradient boosting, and applied to wastewater discharge of Tianjin. In comparison with support vector machine method and multivariate adaptive regression splines method, the method of stochastic gradient regression has higher precision. The study will provide a creditable theoretical support for wastewater discharge management.
  • Keywords
    environmental science computing; gradient methods; regression analysis; stochastic processes; support vector machines; wastewater; influence factors analysis; multivariate adaptive regression splines method; stochastic gradient boosting; stochastic gradient regression; support vector machine method; urban wastewater discharge forecasting; Boosting; Cities and towns; Fault location; Information analysis; Predictive models; Protection; Regression tree analysis; Stochastic processes; Waste management; Wastewater; gradient boosting; prediction; stochastic gradient regression; urban wastewater discharge;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3859-4
  • Type

    conf

  • DOI
    10.1109/IITA.2009.143
  • Filename
    5369512