Application of multivariate analysis and artificial neural networks for the differentiation of red wines from the Canary Islands according to the island of origin

Journal of Agricultural and Food Chemistry

Volumn 51, Issue 15, 2003, Pages 4303-4307

  Díaz, Carlos ^a   Conde, José Elías ^a   Estévez, Daniel ^a   Pérez Olivero, Sergio Javier ^a   Pérez Trujillo, Juan Pedro ^a  

^a UNIVERSIDAD DE LA LAGUNA   (Spain)

Author keywords

Artificial neural networks; Metals; Multivariate analysis; Red wines

Indexed keywords

CALCIUM; COPPER; IRON; LITHIUM; MAGNESIUM; MANGANESE; POTASSIUM; RUBIDIUM; SODIUM; STRONTIUM; ZINC;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL COMPOSITION; DISCRIMINANT ANALYSIS; GEOGRAPHIC ORIGIN; MULTIVARIATE ANALYSIS; WINE; WINE INDUSTRY;

ANALYSIS OF VARIANCE; ATLANTIC ISLANDS; METALS; NEURAL NETWORKS (COMPUTER); WINE;

EID: 0037816650     PISSN: 00218561     EISSN: None     Source Type: Journal    
DOI: 10.1021/jf0343581     Document Type: Article

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