RSM and ANN-GA modeling of colloidal particles removal from paint wastewater via coagulation method using modified Aguleri montmorillonite clay

RSM and ANN-GA modeling of colloidal particles removal from paint wastewater via coagulation method using modified Aguleri montmorillonite clay

In this study, response surface methodology (RSM) and artificial neural network (ANN) based on statistically designed experiments (CCD) were used as tools for simulation and optimization of total dissolved and suspended particles (TDSP)(colloidal particles) removal from paint effluent using coagulati...

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Bibliographic Details
Main Authors: M.I Ejimofor, I.G. Ezemagu, M.C. Menkiti
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Current Research in Green and Sustainable Chemistry
Subjects:
Coagulation
Montmorillonite clay
Paint effluent
RSM
ANN-GA
Online Access:http://www.sciencedirect.com/science/article/pii/S2666086521001119

Internet

http://www.sciencedirect.com/science/article/pii/S2666086521001119

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