Prediction of the sorption efficiency of heavy metal onto biochar using a robust combination of fuzzy C-means clustering and back-propagation neural network

Heavy metal adsorption onto biochar is an effective method for the treatment of the heavy metal contamination of water and wastewater. This study aims to evaluate the heavy metals sorption efficiency of different biochar characteristics and propose a novel intelligence method for predicting the sorp...

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Vydané v:	Journal of environmental management Ročník 293; s. 112808
Hlavní autori:	Ke, Bo, Nguyen, Hoang, Bui, Xuan-Nam, Bui, Hoang-Bac, Nguyen-Thoi, Trung
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.09.2021
Predmet:	adsorption algorithms biochar Biochar sorption Fuzzy C-Mean clustering Heavy metal heavy metals Hybrid machine learning model Neural networks prediction Wastewater wastewater treatment water pollution Fuzzy C-Mean clustering Biochar sorption Hybrid machine learning model Wastewater Neural networks Heavy metal
ISSN:	0301-4797, 1095-8630, 1095-8630
On-line prístup:	Získať plný text
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