Analysis of Influencing Factors on the Gas Separation Performance of Carbon Molecular Sieve Membrane Using Machine Learning Technique

Gas separation performance of the carbon molecular sieve (CMS) membrane is influenced by multiple factors including the microstructural characteristics of carbon and gas properties. In this work, the support vector regression (SVR) method as a machine learning technique was applied to the correlatio...

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Autors principals:	Yanqiu Pan, Liu He, Yisu Ren, Wei Wang, Tonghua Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-01-01
Col·lecció:	Membranes
Matèries:	carbon molecular sieve membrane gas separation machine learning support vector regression
Accés en línia:	https://www.mdpi.com/2077-0375/12/1/100
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