Open AccessA COMPARATIVE STUDY BETWEEN MULTIVARIATE CALIBRATION AND ARTIFICIAL NEURAL NETWORK IN QUANTIFICATION OF SOYBEAN BIODIESEL
Author(s) -
Claiton Zanini Brusamarello,
Michele Di Domenico,
C. Da Silva,
Fernanda de Castilhos
Publication year - 2019
Publication title -
revista mexicana de ingeniería química
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.288
H-Index - 18
eISSN - 2395-8472
pISSN - 1665-2738
DOI - 10.24275/rmiq/bio579
Subject(s) - transesterification , biodiesel , soybean oil , absorbance , chemistry , calibration , chemometrics , catalysis , partial least squares regression , chromatography , organic chemistry , mathematics , machine learning , computer science , food science , statistics