Improving the Classification Accuracy for Near-Infrared Spectroscopy of Chinese Salvia miltiorrhiza Using Local Variable Selection
المؤلفون المشاركون
Zhu, Lianqing
Chang, Haitao
Wang, Zhongyu
Zhou, Qun
المصدر
Journal of Analytical Methods in Chemistry
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-01-29
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
In order to improve the classification accuracy of Chinese Salvia miltiorrhiza using near-infrared spectroscopy, a novel local variable selection strategy is thus proposed.
Combining the strengths of the local algorithm and interval partial least squares, the spectra data have firstly been divided into several pairs of classes in sample direction and equidistant subintervals in variable direction.
Then, a local classification model has been built, and the most proper spectral region has been selected based on the new evaluation criterion considering both classification error rate and best predictive ability under the leave-one-out cross validation scheme for each pair of classes.
Finally, each observation can be assigned to belong to the class according to the statistical analysis of classification results of the local classification model built on selected variables.
The performance of the proposed method was demonstrated through near-infrared spectra of cultivated or wild Salvia miltiorrhiza, which are collected from 8 geographical origins in 5 provinces of China.
For comparison, soft independent modelling of class analogy and partial least squares discriminant analysis methods are, respectively, employed as the classification model.
Experimental results showed that classification performance of the classification model with local variable selection was obvious better than that without variable selection.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhu, Lianqing& Chang, Haitao& Zhou, Qun& Wang, Zhongyu. 2018. Improving the Classification Accuracy for Near-Infrared Spectroscopy of Chinese Salvia miltiorrhiza Using Local Variable Selection. Journal of Analytical Methods in Chemistry،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1176386
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhu, Lianqing…[et al.]. Improving the Classification Accuracy for Near-Infrared Spectroscopy of Chinese Salvia miltiorrhiza Using Local Variable Selection. Journal of Analytical Methods in Chemistry No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1176386
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhu, Lianqing& Chang, Haitao& Zhou, Qun& Wang, Zhongyu. Improving the Classification Accuracy for Near-Infrared Spectroscopy of Chinese Salvia miltiorrhiza Using Local Variable Selection. Journal of Analytical Methods in Chemistry. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1176386
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1176386
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر