A feature extraction method based on the entropy-minimal description length principle and GBDT for common surface water pollution identification

To effectively prevent river water pollution, water quality monitoring is necessary. However, existing methods for water quality assessment are limited in terms of the characterization of water quality conditions, and few researchers have been able to focus on feature extraction methods relative to...

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Autores principales:	Pingjie Huang, Lixiang Wang, Dibo Hou, Wangli Lin, Jie Yu, Guangxin Zhang, Hongjian Zhang
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	entropy–minimal description length principle feature extraction gradient boosting decision tree pollution identification surface water quality Information technology T58.5-58.64 Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/418d89fc682146e1ab47fb37e17cbc35
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A feature extraction method based on the entropy-minimal description length principle and GBDT for common surface water pollution identification

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