Comparison Between Linear and Nonlinear Machine-Learning Algorithms for Predicting the Properties of Biodiesel Using Near-infrared Spectra
Author:
Affiliation:
1. King Mongkut's Institute of Technology, Ladkrabang, Prince of Chumphon Campus,Department of Engineering,Chumphon,Thailand
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10444765/10444743/10444799.pdf?arnumber=10444799
Reference48 articles.
1. Adulteration of diesel/biodiesel blends by vegetable oil as determined by Fourier transform (FT) near infrared spectrometry and FT-Raman spectroscopy
2. Multivariate near infrared spectroscopy models for predicting the iodine value, CFPP, kinematic viscosity at 40°C and density at 15°C of biodiesel
3. Evaluation of biodiesel–diesel blends quality using 1H NMR and chemometrics
4. Biofuels (alcohols and biodiesel) applications as fuels for internal combustion engines
5. Progress and recent trends in biofuels
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