Rigorous Connectionist Models to Predict Carbon Dioxide Solubility in Various Ionic Liquids

Rigorous Connectionist Models to Predict Carbon Dioxide Solubility in Various Ionic Liquids

Estimating the solubility of carbon dioxide in ionic liquids, using reliable models, is of paramount importance from both environmental and economic points of view. In this regard, the current research aims at evaluating the performance of two data-driven techniques, namely multilayer perceptron (ML...

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Bibliographic Details
Main Authors: Hocine Ouaer, Amir Hossein Hosseini, Menad Nait Amar, Mohamed El Amine Ben Seghier, Mohammed Abdelfetah Ghriga, Narjes Nabipour, Pål Østebø Andersen, Amir Mosavi, Shahaboddin Shamshirband
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Applied Sciences
Subjects:
co<sub>2</sub> solubility
ionic liquids
carbon dioxide
multilayer perceptron
gene expression programming
prediction
equation of state
machine learning
Online Access:https://www.mdpi.com/2076-3417/10/1/304

Internet

https://www.mdpi.com/2076-3417/10/1/304

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