Artificial neural network and support vector regression applied in quantitative structure-property relationship modelling of solubility of solid solutes in supercritical CO2
In this study, the solubility of 145 solid solutes in supercritical CO2 (scCO2) was correlated using computational intelligence techniques based on Quantitative Structure-Property Relationship (QSPR) models. A database of 3637 solubility values has been collected from previously published papers. Dr...
| Permalink: | http://skupni.nsk.hr/Record/nsk.NSK01001098213 |
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| Matična publikacija: |
Kemija u industriji (Online) 69 (2020), 11/12 ; str. 611-630 |
| Glavni autori: | Moussaoui, Mohammed (Author), Laidi, Maamar, Hanini, Salah, Hentabli, Mohamed |
| Vrsta građe: | e-članak |
| Jezik: | eng |
| Predmet: | |
| Online pristup: |
https://doi.org/10.15255/KUI.2020.004 Kemija u industriji (Online) Hrčak |
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https://doi.org/10.15255/KUI.2020.004Kemija u industriji (Online)
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