Classification of Venezuelan spirituous beverages by means of discriminant analysis and artificial neural networks based on their Zn, Cu and Fe concentrations

Talanta

Volumn 60, Issue 6, 2003, Pages 1259-1267

  Hernández Caraballo, Edwin A ^a   Avila Gómez, Rita M ^a   Capote, Tarcisio ^b   Rivas, Francklin ^c   Pérez, Anna G ^c  

^a FACULTAD DE CIENCIAS   (Venezuela)

^b UNIVERSIDAD CENTROCCIDENTAL LISANDRO ALVARADO   (Venezuela)

^c UNIVERSIDAD DE LOS ANDES   (Venezuela)

Author keywords

Artificial neural networks (ANNs); Backpropagation algorithm; Classification; Cocuy; Copper; Iron; Linear discriminant analysis (LDA); Quadratic discriminant analysis (QDA); Spirituous beverages; Zinc

Indexed keywords

ALGORITHMS; BACKPROPAGATION; COPPER; IRON; NEURAL NETWORKS; SPECTROMETRY; ZINC;

LINEAR DISCRIMINANT ANALYSIS (LDA);

BEVERAGES;

COPPER; IRON; ZINC;

ALCOHOLIC BEVERAGE; ALGORITHM; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; ATOMIC ABSORPTION SPECTROMETRY; CHEMICAL ANALYSIS; CLASSIFICATION; CONCENTRATION (PARAMETERS); DISCRIMINANT ANALYSIS; FLAME PHOTOMETRY; INDUSTRY; LINEAR SYSTEM; MEASUREMENT; POLICY; PREDICTION; QUALITY CONTROL; RELIABILITY; TECHNIQUE; VENEZUELA;

EID: 0041423766     PISSN: 00399140     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0039-9140(03)00226-1     Document Type: Article

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