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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Detalles Bibliográficos

Principais autores:	Yanqiu Pan, Liu He, Yisu Ren, Wei Wang, Tonghua Wang
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2022-01-01
Series:	Membranes
Assuntos:	carbon molecular sieve membrane gas separation machine learning support vector regression
Acceso en liña:	https://www.mdpi.com/2077-0375/12/1/100
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