Prediction of carbon dioxide solubility in ionic liquids using MLP and radial basis function (RBF) neural networks-Reference-Cited by-同舟云学术

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Prediction of carbon dioxide solubility in ionic liquids using MLP and radial basis function (RBF) neural networks

Published:2016-03 Issue: Volume:60 Page:151-164
ISSN:1876-1070
Container-title:Journal of the Taiwan Institute of Chemical Engineers
language:en
Short-container-title:Journal of the Taiwan Institute of Chemical Engineers

Author:

Tatar Afshin,Naseri Saeid,Bahadori Mohammad,Hezave Ali Zeinolabedini,Kashiwao Tomoaki,Bahadori Alireza,Darvish Hoda

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference101 articles.

1. Prediction carbon dioxide solubility in presence of various ionic liquids using computational intelligence approaches;Baghban;J Supercrit Fluids,2015

2. Comparative performance assessment of USC and IGCC power plants integrated with CO2 capture systems;Cau;Fuel,2014

3. Capture of carbon dioxide from air and flue gas in the alkylamine-appended metal–organic framework mmen-Mg2(dobpdc);McDonald;J Am Chem Soc,2012

4. Capture of carbon dioxide from flue gas on TEPA-grafted metal-organic framework Mg2(dobdc);Cao;J Environ Sci,2013

5. Post-combustion CO2 capture using solid sorbents: a review;Samanta;Ind Eng Chem Res,2012

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