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Dragonfly support vector machine modelling of the adsorption phenomenon of certain phenols by activated carbon fibres

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-trichlo...

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Permalink: http://skupnikatalog.nsk.hr/Record/nsk.NSK01001144942/Details
Matična publikacija: Kemija u industriji (Online)
70 (2021), 9/10 ; str. 501-508
Glavni autori: Hentabli, Mohamed (Author), Belhadj, Abd-Elmouneïm, Dahmoune, Farid
Vrsta građe: e-članak
Jezik: eng
Predmet:
Adsorpcija > Fenoli > Metoda potpornih vektora > Aktivni ugljen
Online pristup: https://doi.org/10.15255/KUI.2020.073
Kemija u industriji (Online)
Hrčak
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024 7 |2 doi  |a 10.15255/KUI.2020.073 
035 |a (HR-ZaNSK)001144942 
040 |a HR-ZaNSK  |b hrv  |c HR-ZaNSK  |e ppiak 
041 0 |a eng  |b hrv 
042 |a croatica 
044 |a ci  |c hr 
080 1 |a 66  |2 2011 
100 1 |a Hentabli, Mohamed  |4 aut  |9 HR-ZaNSK 
245 1 0 |a Dragonfly support vector machine modelling of the adsorption phenomenon of certain phenols by activated carbon fibres  |h [Elektronička građa] /  |c Mohamed Hentabli, Abd-Elmouneïm Belhadj, Farid Dahmoune. 
300 |b Graf. prikazi. 
504 |a Bibliografija: 26 jed. 
504 |a Summary ; Sažetak. 
520 |a 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). 
520 |a 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). 
653 0 |a Adsorpcija  |a Fenoli  |a Metoda potpornih vektora  |a Aktivni ugljen 
700 1 |a Belhadj, Abd-Elmouneïm  |4 aut  |9 HR-ZaNSK 
700 1 |a Dahmoune, Farid  |4 aut  |9 HR-ZaNSK 
773 0 |t Kemija u industriji (Online)  |x 1334-9090  |g 70 (2021), 9/10 ; str. 501-508  |w nsk.(HR-ZaNSK)000530475 
981 |b Be2021  |b B03/21 
998 |b tino2212 
856 4 0 |u https://doi.org/10.15255/KUI.2020.073 
856 4 0 |u http://silverstripe.fkit.hr/kui/issue-archive/article/811  |y Kemija u industriji (Online) 
856 4 0 |u https://hrcak.srce.hr/261462  |y Hrčak 
856 4 1 |y Digitalna.nsk.hr 

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