Optimisation and Prediction of the Coagulant Dose for the Elimination of Organic Micropollutants Based on Turbidity

Optimisation and Prediction of the Coagulant Dose for the Elimination of Organic Micropollutants Based on Turbidity

In this study, four different mathematical models were considered to predict the coagulant dose in view of turbidity removal: response surface methodology (RSM), artificial neural networks (ANN), support vector machine (SVM), and adaptive neuro-fuzzy inference system (ANFIS). The results showed that...

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Bibliographic Details
Main Authors: Hichem Tahraoui, Abd-Elmouneïm Belhadj, Nassim Moula, Saliha Bouranene, Abdeltif Amrane
Format: article
Language:EN
HR
Published: Croatian Society of Chemical Engineers 2021
Subjects:
coagulation
physicochemical analysis
response surface methodology
artificial neural networks
support vector machine
adaptive neuro-fuzzy inference system
Chemistry
QD1-999
Online Access:https://doaj.org/article/a00f6603d85849cd897ddae40c4eb06d
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