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...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2021-01-01
|
| Series: | BioMed Research International |
| Online Access: | http://dx.doi.org/10.1155/2021/6069010 |