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 (q e ).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 (c e ), 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 (R 2 = 0.997) and root mean squared error (RMSE = 0.027 mmol l -1 ).

Abstract licence: CC BY

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