NDLI: Wastewater treatment prediction based on immune optimization multi-output least squares support vector regression machine

Content Provider	IEEE Xplore Digital Library
Author	Ye Hongtao Luo Fei Xu Yuge Tan Guangxing
Copyright Year	2013
Description	Author affiliation: Department of Electronic Information and Control Engineering, Guangxi University of Technology, Liuzhou, China (Tan Guangxing) \|\| School of Automation Science and Engineering, South China University of Technology, Guangzhou, China (Ye Hongtao; Luo Fei; Xu Yuge)
Abstract	In order to improve effluent water quality prediction precision of wastewater treatment system, the main factors which have influence on the effluent quality are analyzed. Wastewater treatment system is a multi-input multi-output system. But the traditional support vector regression machine (SVRM) algorithms are only used for single-output systems. If several SVRM models are constructed for multi-input multi-output systems, it will increase the complexity of the algorithm and the precision is poor for the correlation of output variables. In order to solve prediction problem of multi-output system, a method of multi-output least squares support vector regression machine (LS-SVRM) based on immune optimization is proposed in this study. The multi-output LS-SVRM is used to predict effluent quality, using the immune algorithm to optimize the parameters of the multi-output LS-SVRM. Simulation shows that the proposed method has a better prediction precision for wastewater treatment system.
Starting Page	1
Ending Page	4
File Size	98498
Page Count	4
File Format	PDF
ISBN	9781479916603
DOI	10.1109/ANTHOLOGY.2013.6784868
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Water quality prediction Biological system modeling Effluents Least squares support vector regression machine Immune optimization Prediction algorithms Wastewater treatment Optimization Immune system
Content Type	Text
Resource Type	Article

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