Ternary multicomponent adsorption modelling using ANN, LS-SVR, and SVR approach
The aim of this work was to develop three artificial intelligence-based methods to model the ternary adsorption of heavy metal ions {Pb2+, Hg2+, Cd2+, Cu2+, Zn2+, Ni2+, Cr4+} on different adsorbates {activated carbon, chitosan, Danish peat, Heilongjiang peat, carbon sunflower head, and carbon sunflo...
| Permalink: | http://skupnikatalog.nsk.hr/Record/nsk.NSK01001144941/Description |
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| Matična publikacija: |
Kemija u industriji (Online) 70 (2021), 9/10 ; str. 509-518 |
| Glavni autori: | Yettou, Amina (Author), Laidi, Maamar, El Bey, Abdelmadjid, Hanini, Salah, Hentabli, Mohamed, Khaldi, Omar, Abderrahim, Mihoub |
| Vrsta građe: | e-članak |
| Jezik: | eng |
| Predmet: | |
| Online pristup: |
https://doi.org/10.15255/KUI.2020.071 Kemija u industriji (Online) Hrčak |