A comparison of "neural networks and multiple linear regressions" models to describe the rejection of micropollutants by membranes
A rejection process of organic compounds by nanofiltration and reverse osmosis membranes was modelled using the artificial neural networks. Three feed-forward neural networks based on quantitative structure-activity relationship (QSAR-NN models) characterised by a similar structure (twelve neurons f...
| Permalink: | http://skupni.nsk.hr/Record/nsk.NSK01001098251/Description |
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| Matična publikacija: |
Kemija u industriji (Online) 69 (2020), 3/4 ; str. 111-127 |
| Glavni autori: | Ammi, Yamina (Author), Khaouane, Latifa, Hanini, Salah |
| Vrsta građe: | e-članak |
| Jezik: | eng |
| Predmet: | |
| Online pristup: |
https://doi.org/10.15255/KUI.2019.024 Kemija u industriji (Online) Hrčak |