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
Link To Document :
بازگشت