Dragonfly Support Vector Machine Modelling of the Adsorption Phenomenon of Certain Phenols by Activated Carbon Fibres
| العنوان: | Dragonfly Support Vector Machine Modelling of the Adsorption Phenomenon of Certain Phenols by Activated Carbon Fibres |
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| المؤلفون: | Hentabli, Mohamed, Belhadj, Abd-Elmouneïm, Dahmoune, Farid |
| المصدر: | Kemija u Industriji, Vol 70, Iss 9-10, Pp 501-508 (2021) Kemija u industriji : Časopis kemičara i kemijskih inženjera Hrvatske Volume 70 Issue 9-10 |
| بيانات النشر: | Croatian Society of Chemical Engineers, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Chemistry, adsorpcija, fenoli, metoda potpornih vektora, Dragonfly algoritam, vlakno aktivnog ugljena, količina adsorbirana u ravnoteži, adsorption, phenols, support vector machine, dragonfly algorithm, activated carbon fibre, amount adsorbed at equilibrium, General Chemical Engineering, General Chemistry, QD1-999 |
| الوصف: | The objective of this research was to build a mathematical model based on a Support Vector Machine (SVM) capable of predicting the amount adsorbed at equilibrium (qe). Activated carbon fibres (ACF) were used for the adsorption of certain phenols (phenol, 2-chlorophenol, 4-chlorophenol, 2,4,6-trichlorophenol, 4-nitrophenol, and 2,4-dinitrophenol). An experimental dataset of 129 points was collected from previously published papers. The inputs considered for modelling were temperature (T), concentration at equilibrium (ce), and two descriptors (boiling point (BP) and density (d)) to differentiate between the pollutants studied. The data used were pre-processed by the statistical analysis to ensure that they were adequate for modelling. The results showed a superiority of the Gaussian kernel function DA-SVM model demonstrated by its determination coefficient (R2 = 0.997) and root mean squared error (RMSE = 0.027 mmol l–1). This work is licensed under a Creative Commons Attribution 4.0 International License. Cilj ovog istraživanja bio je izraditi matematički model zasnovan na metodi potpornih vektora (SVM) koji može predvidjeti količinu adsorbiranu u ravnoteži (qe). Vlakna s aktivnim ugljenom (ACF) upotrijebljena su za adsorpciju određenih fenola (fenol, 2-klorofenol, 4-klorofenol, 2,4,6-triklorofenol, 4-nitrofenol i 2,4-dinitrofenol). Eksperimentalni skup podataka od 129 bodova prikupljen je iz prethodno objavljenih radova. Ulazi parametri koji su uzeti u obzir za modeliranje bili su temperatura (T), koncentracija u ravnoteži (ce) i dva deskriptora (točka vrenja (BP) i gustoća (d)) za razlikovanje ispitivanih onečišćujućih tvari. Korišteni podatci prethodno su obrađeni statističkom analizom da bi se osigurala njihova primjerenost za modeliranje. Rezultati su pokazali superiornost modela DA-SVM Gaussove kernel funkcije demonstriranog njegovim koeficijentom determinacije (R2 = 0,997) i srednjom kvadratnom pogreškom (RMSE = 0,027 mmol l–1). Ovo djelo je dano na korištenje pod licencom Creative Commons Imenovanje 4.0 međunarodna. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 1334-9090 0022-9830 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ef1575a2c6f3e50b3e8cfd7a45b8d04 http://silverstripe.fkit.hr/kui/assets/Uploads/3-501-508-KUI-9-10-2021.pdf |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....9ef1575a2c6f3e50b3e8cfd7a45b8d04 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 13349090 00229830 |
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