Improving prediction of water quality indices using novel hybrid machine-learning algorithms

River water quality assessment is one of the most important tasks to enhance water resources management plans. A water quality index (WQI) considers several water quality variables simultaneously. Traditionally WQI calculations consume time and are often fraught with errors during derivations of sub...

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Vydané v:	The Science of the total environment Ročník 721; s. 137612
Hlavní autori:	Bui, Duie Tien, Khosravi, Khabat, Tiefenbacher, John, Nguyen, Hoang, Kazakis, Nerantzis
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 15.06.2020
Predmet:	algorithms data collection Data mining fecal bacteria Iran model validation monitoring Novel hybrid algorithms Prediction pruning river water total solids trees water management water quality Water quality index watersheds Iran Novel hybrid algorithms Data mining Water quality index Prediction
ISSN:	0048-9697, 1879-1026, 1879-1026
On-line prístup:	Získať plný text
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