کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1166910 | 960518 | 2010 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Comparison of multivariate preprocessing techniques as applied to electronic tongue based pattern classification for black tea
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Analytica Chimica Acta - Volume 675, Issue 1, 18 August 2010, Pages 8–15
Journal: Analytica Chimica Acta - Volume 675, Issue 1, 18 August 2010, Pages 8–15
نویسندگان
Mousumi Palit, Bipan Tudu, Nabarun Bhattacharyya, Ankur Dutta, Pallab Kumar Dutta, Arun Jana, Rajib Bandyopadhyay, Anutosh Chatterjee,