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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| Autores principales: | , , , , |
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| Formato: | article |
| Lenguaje: | EN HR |
| Publicado: |
Croatian Society of Chemical Engineers
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/a00f6603d85849cd897ddae40c4eb06d |
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