Forecasting The Adsorption Capacity Of Organic Dye By Using Zirconium-Based Metal-Organic Framework (MOF) Comparison Studies Between Response Surface And Neural Network Models

Forecasting The Adsorption Capacity Of Organic Dye By Using Zirconium-Based Metal-Organic Framework (MOF) Comparison Studies Between Response Surface And Neural Network Models

he factors affecting the adsorption capacity of Zirconium Metal Organic Framework were analyzed which includes the pH, contact time, amount of adsorbent and initial dye concentration. The experiment was run based on central composite design (CCD) in response surface methodology (RSM). The experiment...

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Bibliographic Details
Main Author: Poopathi, Veshmen
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2021
Subjects:
T Technology
TP Chemical Technology
Online Access:http://eprints.usm.my/54564/1/Forecasting%20The%20Adsorption%20Capacity%20Of%20Organic%20Dye%20By%20Using%20Zirconium-Based%20Metal-Organic%20Framework%20%28MOF%29%20Comparison%20Studies%20Between%20Response%20Surface%20And%20Neural%20Network%20Models_Veshmen%20Poopathi_K4_2021_ESAR.pdf

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http://eprints.usm.my/54564/1/Forecasting%20The%20Adsorption%20Capacity%20Of%20Organic%20Dye%20By%20Using%20Zirconium-Based%20Metal-Organic%20Framework%20%28MOF%29%20Comparison%20Studies%20Between%20Response%20Surface%20And%20Neural%20Network%20Models_Veshmen%20Poopathi_K4_2021_ESAR.pdf

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