Comparison of multivariate preprocessing techniques as applied to electronic tongue based pattern classification for black tea

Analytica Chimica Acta

Volumn 675, Issue 1, 2010, Pages 8-15

  Palit, Mousumi ^a   Tudu, Bipan ^b   Bhattacharyya, Nabarun ^c   Dutta, Ankur ^b   Dutta, Pallab Kumar ^b   Jana, Arun ^c   Bandyopadhyay, Rajib ^b   Chatterjee, Anutosh ^d  

^a Central Calcutta Polytechnic   (India)

^b JADAVPUR UNIVERSITY   (India)

^c CENTRE FOR DEVELOPMENT OF ADVANCED COMPUTING   (India)

^d HERITAGE INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Artificial neural network; Electronic tongue; Preprocessing technique; Principal component analysis; Separability criterion

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ELECTRONIC TONGUE; PREPROCESSING TECHNIQUE; PREPROCESSING TECHNIQUES; SEPARABILITY CRITERION;

DRUG PRODUCTS; ELECTRONIC TONGUES; ELECTRONIC VOLTMETERS; NEURAL NETWORKS; PATTERN RECOGNITION;

PRINCIPAL COMPONENT ANALYSIS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL COMPOSITION; CLASSIFICATION; CONTROLLED STUDY; ELECTRONIC SENSOR; FOOD ANALYSIS; INTERMETHOD COMPARISON; MULTIVARIATE ANALYSIS; PATTERN RECOGNITION; POTENTIOMETRY; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; TEA; THEA NIGRA;

CAMELLIA SINENSIS;

EID: 77955549295     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2010.06.036     Document Type: Article

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