Critical properties and acentric factors of pure compounds modelling based on QSPR-SVM with Dragonfly algorithm
This work aimed to model the critical pressure, temperature, volume properties, and acentric factors of 6700 pure compounds based on five relevant descriptors and two thermodynamic properties. To that end, four methods were used, namely, multi-linear regression (MLR), artificial neural networks (ANN...
Permalink: | http://skupni.nsk.hr/Record/nsk.NSK01001144952 |
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Matična publikacija: |
Kemija u industriji (Online) 70 (2021), 7/8 ; str. 375-386 |
Glavni autori: | Moussaoui, Mohammed (Author), Laidi, Maamar, Hanini, Salah, Abdallah, Abdallah El Hadj, Hentabli, Mohamed |
Vrsta građe: | e-članak |
Jezik: | eng |
Predmet: | |
Online pristup: |
https://doi.org/10.15255/KUI.2020.063 Kemija u industriji (Online) Hrčak |
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https://doi.org/10.15255/KUI.2020.063Kemija u industriji (Online)
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