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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Permalink: http://skupni.nsk.hr/Record/nsk.NSK01001144929/Description
Matična publikacija: Kemija u industriji (Online)
70 (2021), 11/12 ; str. 675-691
Glavni autori: Tahraoui, Hichem (Author), Belhadj, Abd-Elmouneïm, Moula, Nassim, Bouranene, Saliha, Amrane, Abdeltif
Vrsta građe: e-članak
Jezik: eng
Predmet:
Online pristup: https://doi.org/10.15255/KUI.2021.001
Kemija u industriji (Online)
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