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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Veröffentlicht in:	Journal of environmental management Jg. 293; S. 112808
Hauptverfasser:	Ke, Bo, Nguyen, Hoang, Bui, Xuan-Nam, Bui, Hoang-Bac, Nguyen-Thoi, Trung
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2021
Schlagworte:	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
Online-Zugang:	Volltext
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