کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1166670 | 1491126 | 2011 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Comparison of various chemometric approaches for large near infrared spectroscopic data of feed and feed products
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Comparison of various chemometric approaches for large near infrared spectroscopic data of feed and feed products Comparison of various chemometric approaches for large near infrared spectroscopic data of feed and feed products](/preview/png/1166670.png)
چکیده انگلیسی
In the present study, different multivariate regression techniques have been applied to two large near-infrared data sets of feed and feed ingredients in order to fulfil the regulations and laws that exist about the chemical composition of these products. The aim of this paper was to compare the performances of different linear and nonlinear multivariate calibration techniques: PLS, ANN and LS-SVM. The results obtained show that ANN and LS-SVM are very powerful methods for non-linearity but LS-SVM can also perform quite well in the case of linear models. Using LS-SVM an improvement of the RMS for independent test sets of 10% is obtained in average compared to ANN and of 24% compared to PLS.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Analytica Chimica Acta - Volume 705, Issues 1–2, 31 October 2011, Pages 30–34
Journal: Analytica Chimica Acta - Volume 705, Issues 1–2, 31 October 2011, Pages 30–34
نویسندگان
J.A. Fernández Pierna, B. Lecler, J.P. Conzen, A. Niemoeller, V. Baeten, P. Dardenne,