Self-organizing maps and learning vector quantization networks as tools to identify vegetable oils

Journal of Agricultural and Food Chemistry

Volumn 57, Issue 7, 2009, Pages 2763-2769

  Torrecilla, José S ^a   Rojo, Ester ^a   Oliet, Mercedes ^a   Domínguez, Juan C ^a   Rodríguez, Francisco ^a  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

Author keywords

Adulteration; Competitive neural networks; Extra virgin olive oil; Kohonen neural network; Seeds oil

Indexed keywords

FATTY ACID; LINOLEIC ACID; OLEIC ACID; OLIVE OIL; VEGETABLE OIL;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMISTRY; CLASSIFICATION; FOOD CONTAMINATION; REPRODUCIBILITY; THEORETICAL MODEL;

FATTY ACIDS; FOOD CONTAMINATION; LINOLEIC ACID; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); OLEIC ACID; PLANT OILS; REPRODUCIBILITY OF RESULTS;

CORYLUS; GLYCINE MAX; HELIANTHUS; ZEA MAYS;

EID: 64549124780     PISSN: 00218561     EISSN: None     Source Type: Journal    
DOI: 10.1021/jf803520u     Document Type: Article

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