کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8979018 | 1553696 | 2005 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Geographic origin of European Emmental. Use of discriminant analysis and artificial neural network for classification purposes
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
دانش تغذیه
پیش نمایش صفحه اول مقاله
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چکیده انگلیسی
The goal of this work was to classify European Emmental cheeses according to their geographic origin using analytical approaches. Twenty-five analytical parameters (factors) were measured in 183 samples. Results were combined by multivariate statistical analysis. Discriminant analysis (DA) and an artificial neural network (ANN) delivered similar results when all regions and factors were included; 95% and 91%, respectively, of the samples were correctly classified in the validation procedure. To reduce the analytical costs and the risk of overfitting, a DA based on a selection of only 11 factors was calculated. In this case, the Jackknifed validation delivered 95% correct assignments. Finally, a system was optimised to discriminate between the Swiss samples and cheeses from other regions. Building a new model for each of the six pairs, Switzerland vs. another region, 100% correct classification could be achieved for the Swiss samples.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Dairy Journal - Volume 15, Issues 6â9, JuneâSeptember 2005, Pages 557-562
Journal: International Dairy Journal - Volume 15, Issues 6â9, JuneâSeptember 2005, Pages 557-562
نویسندگان
L. Pillonel, U. Bütikofer, H. Schlichtherle-Cerny, R. Tabacchi, J.O. Bosset,