Evolving an Accurate Decision Tree‐Based Model for Predicting Carbon Dioxide Solubility in Polymers-Reference-Cited by-同舟云学术

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Evolving an Accurate Decision Tree‐Based Model for Predicting Carbon Dioxide Solubility in Polymers

Published:2020-03 Issue:3 Volume:43 Page:514-522
ISSN:0930-7516
Container-title:Chemical Engineering & Technology
language:en
Short-container-title:Chem. Eng. Technol.

Author:

Soleimani Reza¹,Saeedi Dehaghani Amir Hossein²,Rezai-Yazdi Ali³,Hosseini Seyed Abolhassan⁴,Hosseini Seyedeh Pegah¹,Bahadori Alireza⁵

Affiliation:

1. Tarbiat Modares UniversityFaculty of Chemical Engineering P.O. Box 14115‐143 Tehran Iran

2. Tarbiat Modares UniversityDepartment of Petroleum EngineeringFaculty of Chemical Engineering 14115-143 Tehran Iran

3. Aston UniversityEngineering & Applied Science School Birmingham United Kingdom

4. University of AlbertaDepartment of Mechanical EngineeringDonadeo Innovation Center for Engineering T6G 1H9 Edmonton AB Canada

5. Southern Cross UniversitySchool of Environment, Science and Engineering 2480 Lismore New South Wales Australia

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ceat.201900096

Reference48 articles.

1. Simultaneous measurement of the solubility of nitrogen and carbon dioxide in polystyrene and of the associated polymer swelling

2. Solubility and Diffusivity of Carbon Dioxide in Solid-State Isotactic Polypropylene by the Pressure−Decay Method

3. Prediction of the gas solubility in polymers by a radial basis function neural network based on chaotic self-adaptive particle swarm optimization and a clustering method

4. Solubility prediction of gases in polymers using fuzzy neural network based on particle swarm optimization algorithm and clustering method

5. Solubility prediction of supercritical carbon dioxide in 10 polymers using radial basis function artificial neural network based on chaotic self-adaptive particle swarm optimization and K-harmonic means

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4. A perspective on data-driven screening and discovery of polymer membranes for gas separation, from the molecular structure to the industrial performance;Reviews in Chemical Engineering;2023-11-21

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