Chilean wine classification using volatile organic compounds data obtained with a fast GC analyzer

IEEE Transactions on Instrumentation and Measurement

Volumn 57, Issue 11, 2008, Pages 2421-2436

  Beltran, Nicolás H ^a   Duarte Mermoud, Manuel A ^a   Soto Vicencio, Víctor A ^a,b   Salah, Sebastián A ^c   Bustos, Matías A ^d  

^a UNIVERSITY OF CHILE   (Chile)

^b AMEC FOSTER WHEELER   (United States)

^c Inversiones Ultra   (Chile)

^d Centro De Investigacion Minera Y Metalurgica   (Chile)

Author keywords

Aroma measurement; Electronic nose; Feature extraction techniques; Pattern recognition techniques; Statistical classification; Support vector machines (SVMs); Wine classification

Indexed keywords

ACOUSTIC SURFACE WAVE DEVICES; ACOUSTIC SURFACE WAVE FILTERS; ACOUSTIC WAVE VELOCITY; ACOUSTIC WAVES; ACOUSTICS; ARTIFICIAL ORGANS; CHROMATOGRAPHIC ANALYSIS; DISCRIMINANT ANALYSIS; ELECTRIC CURRENTS; FEEDFORWARD NEURAL NETWORKS; FREQUENCY RESPONSE; IMAGE RETRIEVAL; LEARNING SYSTEMS; NETWORK PROTOCOLS; NEURAL NETWORKS; ORGANIC COMPOUNDS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY DENSITY FUNCTION; RADIAL BASIS FUNCTION NETWORKS; SENSOR NETWORKS; SUPPORT VECTOR MACHINES; VECTORS; VOLATILE ORGANIC COMPOUNDS; WAVELET DECOMPOSITION; WAVELET TRANSFORMS; WINE;

AROMA MEASUREMENT; ELECTRONIC NOSE; FEATURE EXTRACTION TECHNIQUES; PATTERN RECOGNITION TECHNIQUES; STATISTICAL CLASSIFICATION; SUPPORT VECTOR MACHINES (SVMS);

FEATURE EXTRACTION;

EID: 54949104327     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2008.925015     Document Type: Article

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