Classification of gasoline brand and origin by Raman spectroscopy and a novel R-weighted LSSVM algorithm

Fuel

Volumn 96, Issue , 2012, Pages 146-152

  Li, Sheng ^a   Dai, Lian Kui ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Classification; Correlation coefficient; Gasoline; LSSVM; Raman spectroscopy

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; CLASSIFICATION RESULTS; CORRELATION COEFFICIENT; EUCLIDEAN DISTANCE; GASOLINE SAMPLES; LEAST SQUARES SUPPORT VECTOR MACHINES; LSSVM; NON-INVASIVE MEASUREMENT TECHNIQUE; PRINCIPAL COMPONENT ANALYSIS (PCA); PRINCIPAL COMPONENT SPACE; QUALITATIVE ANALYSIS; SPECTRAL RANGE;

CLASSIFICATION (OF INFORMATION); GASOLINE; PRINCIPAL COMPONENT ANALYSIS; RAMAN SCATTERING; RAMAN SPECTROSCOPY;

ALGORITHMS;

EID: 84858285534     PISSN: 00162361     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fuel.2012.01.001     Document Type: Article

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