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Comparison of Multivariate Preprocessing Techniques as Applied to Electronic Tongue Based Pattern Classification for Black Tea by Mousumi Palit; Bipan Tudu; Nabarun Bhattacharyya; Ankur Dutta; Pallab Kumar Dutta; Arun Jana; Rajib Bandyopadhyay; Anutosh Chatterjee is a Chemistry article available to read on EtoBox.
What is Comparison of Multivariate Preprocessing Techniques as Applied to Electronic Tongue Based Pattern Classification for Black Tea about?
In an electronic tongue, preprocessing on raw data precedes pattern analysis and choice of the appropriate preprocessing technique is crucial for the performance of the pattern classifier. While attempting to classify different grades of black tea using a voltammetric electronic tongue, different preprocessing techniques have been explored and a comparison of their performances is presented in this paper. The preprocessing techniques are compared first by a quantitative measurement of separability followed by principle component analysis; and then two different supervised pattern recognition models based on neural networks are used to evaluate the performance of the preprocessing techniques.
Who reads Comparison of Multivariate Preprocessing Techniques as Applied to Electronic Tongue Based Pattern Classification for Black Tea?
It is typically read by researchers, students, and practitioners in Chemistry.
- Author
- Mousumi Palit; Bipan Tudu; Nabarun Bhattacharyya; Ankur Dutta; Pallab Kumar Dutta; Arun Jana; Rajib Bandyopadhyay; Anutosh Chatterjee
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0003-2670)
- Published
- 2010
- Language
- EN
- Field
- Chemistry (Physical Sciences)