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Predicting the sorption efficiency of heavy metal based on the biochar characteristics, metal sources, and environmental conditions using various novel hybrid machine learning models.
Chemosphere. 2021 Aug;276:130204. doi: 10.1016/j.chemosphere.2021.130204. Epub 2021 Mar 9.
Chemosphere. 2021.
PMID: 34088091
Prediction of the sorption efficiency of heavy metal onto biochar using a robust combination of fuzzy C-means clustering and back-propagation neural network.
Ke B, Nguyen H, Bui XN, Bui HB, Nguyen-Thoi T.
Ke B, et al. Among authors: bui hb.
J Environ Manage. 2021 Sep 1;293:112808. doi: 10.1016/j.jenvman.2021.112808. Epub 2021 May 23.
J Environ Manage. 2021.
PMID: 34034129
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