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
Link To Document