Practical Artificial Neural Network Tool for Predicting the Competitive Adsorption of Dyes on Gemini Polymeric Nanoarchitecture

Practical Artificial Neural Network Tool for Predicting the Competitive Adsorption of Dyes on Gemini Polymeric Nanoarchitecture

The objective of this study was to model the removal efficiency of ternary adsorption system using feed-forward back propagation artificial neural network (FFBP-ANN). The ANN model was trained with Levenberg–Marquardt back propagation algorithm and the best model was found with the architecture of {...

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Bibliographic Details
Main Authors: Abdelmadjid El Bey, Maamar Laidi, Amina Yettou, Salah Hanini, Abdellah Ibrir, Mohamed Hentabli, Hasna Ouldkhaoua
Format: Article
Language:English
Published: Croatian Society of Chemical Engineers 2021-08-01
Series:Kemija u Industriji
Subjects:
competitive adsorption
artificial neural networks
modelling
dyes
Online Access:http://silverstripe.fkit.hr/kui/assets/Uploads/1-481-488-KUI-9-10-2021.pdf

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