Classification and prediction of rice wines with different marked ages by using a voltammetric electronic tongue

Biosensors and Bioelectronics

Volumn 26, Issue 12, 2011, Pages 4767-4773

  Wei, Zhenbo ^a   Wang, Jun ^a   Ye, Linshuang ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Chinese rice wine; MLAPV; Pattern recognition; Voltammetric electronic tongue

Indexed keywords

CHINESE RICE WINE; LARGE AMPLITUDE; MLAPV; MULTI FREQUENCY; PARTIAL LEAST SQUARES; POTENTIAL WAVEFORMS; PULSE VOLTAMMETRY; REGRESSION MODEL; RICE WINE; VOLTAMMETRIC ELECTRONIC TONGUE; WORKING ELECTRODE;

CLUSTER ANALYSIS; ELECTRONIC VOLTMETERS; NEURAL NETWORKS; PATTERN RECOGNITION; PLATINUM; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; TITANIUM; TUNGSTEN; VOLTAMMETRY; WINE;

ELECTRONIC TONGUES;

GOLD; PALLADIUM; PLATINUM; SILVER; TITANIUM; TUNGSTEN;

ACCURACY; ACTION POTENTIAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; CLUSTER ANALYSIS; COMPUTER PREDICTION; CONTROLLED STUDY; ELECTRODE; FREQUENCY MODULATION; POTENTIOMETRY; PRINCIPAL COMPONENT ANALYSIS; SAKE; SPECTROSCOPY; VOLTAMMETRIC ELECTRONIC TONGUE; WAVEFORM; WINE;

ANALYSIS OF VARIANCE; CHINA; CLUSTER ANALYSIS; ELECTROCHEMICAL TECHNIQUES; ELECTRODES; LEAST-SQUARES ANALYSIS; ORYZA SATIVA; PRINCIPAL COMPONENT ANALYSIS; WINE;

EID: 79960463880     PISSN: 09565663     EISSN: 18734235     Source Type: Journal    
DOI: 10.1016/j.bios.2011.05.046     Document Type: Article

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