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
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