A Review of the Modeling of Adsorption of Organic and Inorganic Pollutants from Water Using Artificial Neural Networks

The application of artificial neural networks on adsorption modeling has significantly increased during the last decades. These artificial intelligence models have been utilized to correlate and predict kinetics, isotherms, and breakthrough curves of a wide spectrum of adsorbents and adsorbates in t...

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Bibliographic Details

Published in:	Adsorption Science & Technology Vol. 2022
Main Authors:	Reynel-Ávila, Hilda Elizabeth, Aguayo-Villarreal, Ismael Alejandro, Diaz-Muñoz, Lizbeth Liliana, Moreno-Pérez, Jaime, Sánchez-Ruiz, Francisco Javier, Rojas-Mayorga, Cintia Karina, Mendoza-Castillo, Didilia Ileana, Bonilla-Petriciolet, Adrián
Format:	Journal Article Book Review
Language:	English
Published:	Oxford Hindawi 2022 Sage Publications Ltd SAGE Publications
Subjects:	Adsorbates Adsorption Artificial intelligence Artificial neural networks Batch processes Batch processing Data simulation Dynamical systems Literature reviews Neural networks Packed beds Pollutants Water purification Water treatment
Online Access:	Get full text
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