A systematic and critical review on development of machine learning based-ensemble models for prediction of adsorption process efficiency-Reference-Cited by-同舟云学术

A systematic and critical review on development of machine learning based-ensemble models for prediction of adsorption process efficiency

Published:2022-12 Issue: Volume:379 Page:134588
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Abbasi Elahe,Alavi Moghaddam Mohammad Reza^ORCID,Kowsari Elaheh

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment,Building and Construction

Reference108 articles.

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2. Machine learning technology in biodiesel research: a review;Aghbashlo;Prog. Energy Combust. Sci.,2021

3. Adsorption of Indigo Carmine dye onto the surface-modified adsorbent prepared from municipal waste and simulation using deep neural network;Ahmad;J. Hazard Mater.,2020

4. The use of artificial neural network (ANN) for modeling adsorption of sunset yellow onto neodymium modified ordered mesoporous carbon;Ahmad;Chemosphere,2020

5. Application of random forest, radial basis function neural networks and central composite design for modeling and/or optimization of the ultrasonic assisted adsorption of brilliant green on ZnS-NP-AC;Ahmadi Azqhandi;J. Colloid Interface Sci.,2017

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