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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Publicado en:BioMed Research International pp. 1 - 14
Autores principales: Wang, Bingxian, Alruyemi, Issam
Formato: equations & formulas research tables/charts Journal Article
Publicado: Wiley-Blackwell 8/12/2021
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 8/12/2021
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1155/2021/6069010
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        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
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