Modelling and Optimisation of Zinc (II) Removal from Synthetic Acid Mine Drainage via Three-Dimensional Adsorbent Using a Machine Learning Approach

This work uses three-dimensional green and biodegradable adsorbent from cellulose nanocrystals and a machine learning technique to simulate and optimise the removal of zinc (II) from synthetic acid mine drainage. The adsorption process was modelled and optimised using three machine learning algorith...

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Автори:	Musamba Banza, Tumisang Seodigeng
Формат:	Artigo
Мова:	Inglês
Опубліковано:	MDPI AG 2023-05-01
Серія:	Engineering Proceedings
Предмети:	response surface methodology adaptive neuro-fuzzy inference system artificial neural network three-dimensional adsorbent machine learning
Онлайн доступ:	https://www.mdpi.com/2673-4591/37/1/52
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