A Novel Technique of Black Tea Quality Prediction Using Electronic Tongue Signals

Electronic tongue (ET) system is under extensive development for automatic analysis and prediction of quality of different industrial end products. Each sensor in an ET system generates a specific electronic response in presence of different organic or inorganic compounds in the sample. The vital pa...

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Veröffentlicht in:	IEEE transactions on instrumentation and measurement Jg. 63; H. 10; S. 2472 - 2479
Hauptverfasser:	Saha, Pradip, Ghorai, Santanu, Tudu, Bipan, Bandyopadhyay, Rajib, Bhattacharyya, Nabarun
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.10.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Arrays Automation Black tea Classifiers Discrete wavelet transforms Electrodes Electronic tongue (ET) Electronic tongues Electronics Feature extraction Instrumentation Kernel kernel classifiers Mathematical analysis Sensor arrays support vector machine (SVM) Support vector machines vector valued regularized kernel function approximation (VVRKFA) Vectors wavelet features Wavelet transforms vector valued regularized kernel function approximation (VVRKFA) Electronic tongue (ET) feature extraction support vector machine (SVM) wavelet features kernel classifiers
ISSN:	0018-9456, 1557-9662
Online-Zugang:	Volltext
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