Application of Least-Squares Support Vector Machines for Quantitative Evaluation of Known Contaminant in Water Distribution System Using Online Water Quality Parameters.

Wang, Kexin; Wen, Xiang; Hou, Dibo; Tu, Dezhan; Zhu, Naifu; Huang, Pingjie; Zhang, Guangxin; Zhang, Hongjian

Wang, Kexin; Wen, Xiang; Hou, Dibo; Tu, Dezhan; Zhu, Naifu; Huang, Pingjie; Zhang, Guangxin; Zhang, Hongjian.

Afiliação

Wang K; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China. 21532059@zju.edu.cn.
Wen X; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China. xwen@zju.edu.cn.
Hou D; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China. houdb@zju.edu.cn.
Tu D; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China. 21632031@zju.edu.cn.
Zhu N; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China. znf@zju.edu.cn.
Huang P; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China. huangpingjie@zju.edu.cn.
Zhang G; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China. gxzhang@zju.edu.cn.
Zhang H; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China. hjzhang@iipc.zju.edu.cn.

Sensors (Basel) ; 18(4)2018 Mar 22.

Article em En | MEDLINE | ID: mdl-29565295

Palavras-chave

LS-SVM; conventional water-quality sensors; quantitative evaluation; water quality early warning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2018 Tipo de documento: Article

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