Statistical computation and artificial neural algorithm modeling for the treatment of dye wastewater using mucuna sloanei as coagulant and study of the generated sludge

Statistical computation and artificial neural algorithm modeling for the treatment of dye wastewater using mucuna sloanei as coagulant and study of the generated sludge

Adaptive neuro-fuzzy inference system and response surface methodology techniques were used to predict coagulation-flocculation parameters needed to remove color and COD effectively and produce acceptable sludge using Mucuna sloanei at 298 K from a dye wastewater. The variables input to the network...

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Bibliographic Details
Main Authors: Patrick Chukwudi Nnaji, Valentine Chikaodili Anadebe, Chinedu Agu, Ifechukwu Godfrey Ezemagu, John C. Edeh, Anselem A. Ohanehi, Okechukwu Dominic Onukwuli, Emmanuel Emeka Eluno
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Results in Engineering
Subjects:
RSM- ANFIS
Optimization and modelling
Coagulation/flocculation
Mucuna sloanei
Sludge characterization
Dye wastewater
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123023003432

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http://www.sciencedirect.com/science/article/pii/S2590123023003432

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