Comprehensive Modeling in Predicting Biodiesel Density Using Gaussian Process Regression Approach

In this study, four Gaussian process regression (GPR) approaches by various kernel functions have been proposed for the estimation of biodiesel density as the functions of pressure, temperature, molecular weight, and the normal melting point of fatty acid esters. Comparing the actual values with GPR...

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Detalles Bibliográficos
Autores principales: Wang, Bingxian, Alruyemi, Issam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225412/
https://www.ncbi.nlm.nih.gov/pubmed/34222475
http://dx.doi.org/10.1155/2021/6069010

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225412/
https://www.ncbi.nlm.nih.gov/pubmed/34222475
http://dx.doi.org/10.1155/2021/6069010

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