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

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

In water-quality, early warning systems and qualitative detection of contaminants are always challenging. There are a number of parameters that need to be measured which are not entirely linearly related to pollutant concentrations. Besides the complex correlations between variable water parameters...

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Bibliographic Details
Main Authors:	Kexin Wang, Xiang Wen, Dibo Hou, Dezhan Tu, Naifu Zhu, Pingjie Huang, Guangxin Zhang, Hongjian Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2018-03-01
Series:	Sensors
Subjects:	water quality early warning quantitative evaluation LS-SVM conventional water-quality sensors
Online Access:	http://www.mdpi.com/1424-8220/18/4/938

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