Diesel oil quality parameter determinations using support vector regression and near infrared spectroscopy for hydrotreating feedstock monitoring

Journal of Near Infrared Spectroscopy

Volumn 20, Issue 4, 2012, Pages 419-425

  Alves, Julio Cesar L ^a   Poppi, Ronei J ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Diesel; Near infrared (NIR) spectroscopy; Partial least squares; Support vector regression

Indexed keywords

ANILINE; DIESEL ENGINES; DISTILLATION; FEEDSTOCKS; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; MOBILE TELECOMMUNICATION SYSTEMS; NEAR INFRARED SPECTROSCOPY; REGRESSION ANALYSIS;

DIESEL; HYDROTREATING PROCESS; MODELLING CAPABILITIES; MULTIVARIATE REGRESSION; PARTIAL LEAST SQUARE (PLS); PRODUCTION MONITORING; ROOT MEAN SQUARE ERRORS; SUPPORT VECTOR REGRESSION (SVR);

QUALITY CONTROL;

EID: 84865680097     PISSN: 09670335     EISSN: None     Source Type: Journal    
DOI: 10.1255/jnirs.1012     Document Type: Article

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