کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
6539341 1421098 2018 8 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله ISI
Element selection and concentration analysis for classifying South America wine samples according to the country of origin
ترجمه فارسی عنوان
انتخاب عنصر و تجزیه و تحلیل غلظت برای طبقه بندی نمونه شراب آمریکای جنوبی با توجه به کشور مبدا
کلمات کلیدی
محتوای عنصری، نمونه های شراب، منشاء جغرافیایی، آمریکای جنوبی، انتخاب ویژگی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی
This paper proposes an approach for feature selection aimed at classifying wines samples according to place of origin. The method relies on Kruskal-Wallis non-parametric test to remove non significant features, and Linear Discriminant Analysis to derive a feature importance index. The ranked features according that index are iteratively added and classification performance is assessed after each insertion. The number of selected features is chosen according the maximum accuracy in a repeated 10-fold cross-validation. Aiming at improving categorization accuracy, different classification techniques are tested. When applied to a wine dataset comprised of 53 samples from four South America countries (Argentina, Brazil, Chile, and Uruguay) and 45 chemical elements concentrations determined by ICP-OES and ICP-MS, the proposed framework yielded average 99.9% accurate classifications in the testing set, and retained average 6.73 of the 45 original elements. Retained chemical elements were then qualitatively assessed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers and Electronics in Agriculture - Volume 150, July 2018, Pages 33-40
نویسندگان
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