دورية أكاديمية

[Applied study on support vector machine (SVM) regression method in quantitative analysis with near-infrared spectroscopy].

التفاصيل البيبلوغرافية
العنوان: [Applied study on support vector machine (SVM) regression method in quantitative analysis with near-infrared spectroscopy].
المؤلفون: Zhang LD; College of Science, China Argiculture University, Beijing 100094, China., Jin ZC, Shen XN, Zhao LL, Li JH, Yan YL
المصدر: Guang pu xue yu guang pu fen xi = Guang pu [Guang Pu Xue Yu Guang Pu Fen Xi] 2005 Sep; Vol. 25 (9), pp. 1400-3.
نوع المنشور: English Abstract; Journal Article
اللغة: Chinese
بيانات الدورية: Publisher: Beijing da xue chu ban she Country of Publication: China NLM ID: 9424805 Publication Model: Print Cited Medium: Print ISSN: 1000-0593 (Print) Linking ISSN: 10000593 NLM ISO Abbreviation: Guang Pu Xue Yu Guang Pu Fen Xi Subsets: MEDLINE
أسماء مطبوعة: Publication: Beijing : Beijing da xue chu ban she
Original Publication: Beijing : Beijing da xue chu ban she,
مواضيع طبية MeSH: Algorithms* , Regression Analysis*, Spectroscopy, Near-Infrared/*standards, Plant Proteins/analysis ; Plant Proteins/standards ; Reference Standards ; Reproducibility of Results ; Spectroscopy, Near-Infrared/methods ; Triticum/metabolism
مستخلص: This paper introduced the application of support vector machines(SVM) regression method based on statistics studytheory to the quantitative analysis with near-infrared (NIR) spectroscopy. Sixty-six wheat samples were used as experimental materials, and thirty-three of them were used as calibration samples. The protein contents and NIR spectra of the calibration samples were used to build SVM regression models by four different kernel functions. The protein content of the predicting samples are estimated by four different SVM regression models. All of the correlation coefficients between the estimated values by different SVM regression models and the standard chemical values of protein content by Kjeldahl's method are more than 0.97. The average absolute error is less than 0.32. To investigate the predicting effect, it is compared with PLS regression models. The result suggested that the SVM regression, which was built to estimate the protein content of wheat samples, can also be used in the quantitative analysis of real samples by NIR.
المشرفين على المادة: 0 (Plant Proteins)
تواريخ الأحداث: Date Created: 20051229 Date Completed: 20100617 Latest Revision: 20051228
رمز التحديث: 20240628
PMID: 16379275
قاعدة البيانات: MEDLINE