Ternary Multicomponent Adsorption Modelling Using ANN, LS-SVR, and SVR Approach – Case Study

Ternary Multicomponent Adsorption Modelling Using ANN, LS-SVR, and SVR Approach – Case Study

The aim of this work was to develop three artificial intelligence-based methods to model the ternary adsorption of heavy metal ions {Pb2+, Hg2+, Cd2+, Cu2+, Zn2+, Ni2+, Cr4+} on different adsorbates {activated carbon, chitosan, Danish peat, Heilongjiang peat, carbon sunflower head, and carbon sunflo...

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Bibliographic Details
Main Authors: Amina Yettou, Maamar Laidi, Abdelmadjid El Bey, Salah Hanini, Mohamed Hentabli, Omar Khaldi, Mihoub Abderrahim
Format: Article
Language:English
Published: Croatian Society of Chemical Engineers 2021-08-01
Series:Kemija u Industriji
Subjects:
multicomponent adsorption
heavy metals
artificial neural networks
support vector regression
least-square support vector regression
Online Access:http://silverstripe.fkit.hr/kui/assets/Uploads/4-509-518-KUI-9-10-2021.pdf

Internet

http://silverstripe.fkit.hr/kui/assets/Uploads/4-509-518-KUI-9-10-2021.pdf

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