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...
| Permalink: | http://skupni.nsk.hr/Record/nsk.NSK01001144929 |
|---|---|
| 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) Hrčak |
Održavanje sustava u tijeku
Sustav je trenutačno nedostupan zbog održavanja.
Zapisi o posjedovanju i primjercima trenutačno nisu dostupni. Za više informacija kontaktirajte osoblje knjižnice ili pošaljite upit administratoru:
Internet
https://doi.org/10.15255/KUI.2021.001Kemija u industriji (Online)
Hrčak