Comparative study of artificial neural network and multivariate methods to classify Spanish DO rose wines

Talanta

Volumn 62, Issue 5, 2004, Pages 983-990

  Perez Magarino S ^a   Ortega Heras, M ^a   Gonzalez San Jose M L ^a   Boger, Z ^b,c  

^a UNIVERSITY OF BURGOS   (Spain)

^b Industrial Neural Systems Ltd   (Israel)

^c OPTIMAL   (United States)

Author keywords

Artificial neural network; Discriminant analysis; Wine classification

Indexed keywords

GEOGRAPHICAL REGIONS; MATHEMATICAL MODELS;

CLASSICAL MULTIVARIATE ANALYSIS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPARATIVE ANATOMY; DISCRIMINANT ANALYSIS; FACTORIAL ANALYSIS; FOOD ANALYSIS; GEOGRAPHIC DISTRIBUTION; LINEAR SYSTEM; MULTIVARIATE ANALYSIS; SPAIN; STATISTICAL MODEL; WINE;

EID: 1242271199     PISSN: 00399140     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.talanta.2003.10.019     Document Type: Article

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