Classification of jet fuel properties by near-infrared spectroscopy using fuzzy rule-building expert systems and support vector machines

Applied Spectroscopy

Volumn 64, Issue 11, 2010, Pages 1251-1258

  Zhanfeng, X U ^a   Bunker, Christopher E ^b   De Harrington, Peter B ^a  

^a OHIO UNIVERSITY   (United States)

^b AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

BLP; Bootstrapped latin partition; Chemometrics; Classification; FuRES; Fuzzy rule building expert system; Jet fuel property characterization; Near infrared spectroscopy; NIR; OPLS DA; Optimal partial least squares discriminant analysis; PLS; Support vector machines; SVM

Indexed keywords

BLP; BOOTSTRAPPED LATIN PARTITION; CHEMOMETRICS; CLASSIFICATION; FURES; JET FUEL PROPERTY CHARACTERIZATION; NIR; OPLS-DA; PARTIAL LEAST SQUARES-DISCRIMINANT ANALYSIS; PLS; SUPPORT VECTOR; SVM;

BOILING POINT; CALIBRATION; DATA MINING; DISCRIMINANT ANALYSIS; EXPERT SYSTEMS; FORECASTING; FREEZING; FUELS; FUZZY RULES; INFRARED DEVICES; INFRARED SPECTROSCOPY; JET FUEL; MODELS; NEAR INFRARED SPECTROSCOPY; NICKEL OXIDE; OPTIMIZATION; PHYSICAL PROPERTIES; SPECTRUM ANALYSIS; TEXTILES; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 78649872796     PISSN: 00037028     EISSN: None     Source Type: Journal    
DOI: 10.1366/000370210793335115     Document Type: Article

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