Self-organizing maps based on chaotic parameters to detect adulterations of extra virgin olive oil with inferior edible oils

Journal of Food Engineering

Volumn 118, Issue 4, 2013, Pages 400-405

  Torrecilla, José S ^a   Cancilla, John C ^a   Matute, Gemma ^a   Díaz Rodríguez, Pablo ^a   Flores, Ana I ^b  

^a UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

^b HOSPITAL UNIVERSITARIO 12 DE OCTUBRE   (Spain)

Author keywords

Extra virgin olive oil; Lag k autocorrelation coefficient; Low grade olive oil; Noisy signal; Unsupervised neural network; UV vis

Indexed keywords

AUTOCORRELATION COEFFICIENT; EXTRA VIRGIN OLIVE OIL; LOW GRADE; NOISY SIGNALS; UNSUPERVISED NEURAL NETWORKS; UV-VIS;

CONFORMAL MAPPING; OLIVE OIL;

SIGNAL DETECTION;

EID: 84878596919     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2013.04.029     Document Type: Article

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