Comparative analysis of RSM, ANN and ANFIS and the mechanistic modeling in eriochrome black-T dye adsorption using modified clay

Comparative analysis of RSM, ANN and ANFIS and the mechanistic modeling in eriochrome black-T dye adsorption using modified clay

ABSTRACT: The application of artificial neural network (ANN), response surface methodology (RSM), and adaptive neuro-fuzzy inference system (ANFIS) in modeling the uptake of Eriochrome black-T (EBT) dye from aqueous solution using Nteje clay was the focus of this work. Acid activation with hydrochlo...

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Bibliographic Details
Main Authors: Chijioke Elijah Onu, Joseph T. Nwabanne, Paschal E. Ohale, Christian O. Asadu
Format: Article
Language:English
Published: Elsevier 2021-04-01
Series:South African Journal of Chemical Engineering
Subjects:
Artificial neural network
Response surface methodology
Adaptive neuro-fuzzy inference system
Adsorption
Eriochrome black t
Mechanistic modeling
Online Access:http://www.sciencedirect.com/science/article/pii/S102691852030072X

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http://www.sciencedirect.com/science/article/pii/S102691852030072X

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