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 :
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