Artificial flavor perception of black tea using fusion of electronic nose and tongue response: A Bayesian statistical approach

Journal of Food Engineering

Volumn 142, Issue , 2014, Pages 87-93

  Banerjee, Runu ^a   Chattopadhyay, Pritthi ^a   Tudu, Bipan ^a   Bhattacharyya, Nabarun ^b   Bandyopadhyay, Rajib ^a  

^a JADAVPUR UNIVERSITY   (India)

^b CENTRE FOR DEVELOPMENT OF ADVANCED COMPUTING   (India)

Author keywords

Artificial perception; Bayesian classifier; Black tea flavor; Electronic nose; Electronic tongue

Indexed keywords

ELECTRONIC TONGUES; SENSOR DATA FUSION;

ARTIFICIAL PERCEPTION; BAYESIAN CLASSIFIER; BAYESIAN STATISTICAL APPROACH; BLACK TEA; CLASSIFICATION ERRORS; ELECTRONIC NOSE; MULTISENSOR DATA FUSION; SENSORY INFORMATION;

SENSORY PERCEPTION;

EID: 84903594452     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2014.06.004     Document Type: Article

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