Potential of artificial intelligence and response surface methodology to predict CO2 capture by KOH-modified activated alumina

Potential of artificial intelligence and response surface methodology to predict CO2 capture by KOH-modified activated alumina

The present study focused on developing predictive neural networks and response surface methodology (RSM)-based model. In order to develop the predictive model, experimental data of CO2 capture by KOH-modified activated alumina was obtained through laboratory scale adsorption setup. Three independen...

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Bibliographic Details
Main Authors: Mohadeseh Noroozian, Ahad Ghaemi, Zeinab Heidari
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Case Studies in Chemical and Environmental Engineering
Subjects:
Artificial neural networks
CO2 capture
MLP
Modified activated alumina
RBF
RSM
Online Access:http://www.sciencedirect.com/science/article/pii/S2666016423001470

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http://www.sciencedirect.com/science/article/pii/S2666016423001470

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