Machine learning modelling of removal of reactive orange RO16 by chemical activated carbon in textile wastewater

This study develops machine learning model of removal of reactive orange dye (Azo) RO16 from textile wastewater by chemical activated carbon CAC. The study addresses the contamination removal efficiency with respect to changing dynamics of concentration, temperature, time, pH and dose, respectively....

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2023-01, Vol.44 (5), p.7977
Hauptverfasser:	Khan, Izaz Ullah, Jehanzeb Ali Shah, Bilal, Muhammad, Khan, Muhammad Saqib, Shah, Sajid, Akgül, Ali
Format:	Artikel
Sprache:	eng
Schlagworte:	Activated carbon Adsorbents Contamination Correlation analysis Dyes Efficiency Machine learning Parameters Polynomials Regression models Robustness (mathematics) Wastewater
Online-Zugang:	Volltext
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