Classification of non-alcoholic beer based on aftertaste sensory evaluation by chemometric tools

Expert Systems with Applications

Volumn 39, Issue 4, 2012, Pages 4315-4327

  Ghasemi Varnamkhasti, Mahdi ^a,b   Mohtasebi, Seyed Saeid ^a   Rodriguez Mendez, Maria Luz ^b   Lozano, Jesus ^c   Razavi, Seyed Hadi ^a   Ahmadi, Hojat ^a   Apetrei, Constantin ^d  

^a UNIVERSITY OF TEHRAN   (Iran)

^b UNIVERSIDAD DE VALLADOLID   (Spain)

^c UNIVERSITY OF EXTREMADURA   (Spain)

^d Dunrea de Jos University of Galai   (Romania)

Author keywords

Artificial neural network; Chemometrics Food quality; Non alcoholic beer; Sensory panel

Indexed keywords

ARTIFICIAL NETWORKS; ARTIFICIAL NEURAL NETWORK; CHEMOMETRIC TOOLS; CHEMOMETRICS; CLASSIFICATION ACCURACY; ELECTRONIC NOSE; FEED-FORWARD NETWORK; HUMAN BEHAVIORS; LEARNING METHODS; LINEAR DISCRIMINANT ANALYSIS; LINEAR TECHNIQUES; PROBABILISTIC NEURAL NETWORKS; QUANTITATIVE DATA; RADIAL BASIS FUNCTIONS; SENSORY ATTRIBUTES; SENSORY EVALUATION; SENSORY PANELS;

ARTIFICIAL ORGANS; BACKPROPAGATION; BEER; BEHAVIORAL RESEARCH; DISCRIMINANT ANALYSIS; ELECTRONIC TONGUES; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS;

QUALITY CONTROL;

EID: 82255179162     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.09.101     Document Type: Article

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