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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Vydáno v:	IEEE transactions on instrumentation and measurement Ročník 63; číslo 10; s. 2472 - 2479
Hlavní autoři:	Saha, Pradip, Ghorai, Santanu, Tudu, Bipan, Bandyopadhyay, Rajib, Bhattacharyya, Nabarun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.10.2014 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
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