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...
| Publicado en: | BioMed Research International pp. 1 - 14 |
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| Autores principales: | , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
8/12/2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151882788&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151882788 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 8/12/2021 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 151882788 151882788 151882788 10.1155/2021/6069010 151882788 ppf: 1 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Comprehensive Modeling in Predicting Biodiesel Density Using Gaussian Process Regression Approach. aug: au: Wang, Bingxian Alruyemi, Issam affil: School of Mathematics and Statistics, Huaiyin Normal University, Huaian, Jiangsu 223300, China sug: subj: Models, Statistical Plant Oils Algorithms Human Validation Studies Temperature Pressure Descriptive Statistics Chemistry, Physical Fatty Acids ab: 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 outputs shows that these approaches have good accuracy, but the performance of the rational quadratic GPR model is better than others. In this GPR model, RMSE = 0.47 , MSE = 0.22 , MRE = 0.04 , R 2 = 1 , and STD is equal to 0.3. In addition, for the first time, this study shows that the effective parameters affect the biodiesel density. According to this analysis, it was shown that among the input parameters, pressure has the greatest effect on the target values with a relevancy factor of 0.59. This study can be used as a suitable and valuable work/tool for chemical and petroleum engineers who attempt environment protection and recovery improvement. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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