Discrimination of Radix Pseudostellariae according to geographical origins using NIR spectroscopy and support vector data description.
作者： Hao Lin , Jiewen Zhao , Quansheng Chen , Fang Zhou , Li Sun
DOI: 10.1016/J.SAA.2011.04.072
关键词:
摘要: Abstract Near infrared (NIR) spectroscopy combined with support vector data description (SVDD) was attempted to identify geographical origins of Radix Pseudostellariae. Original spectra eggs in wavelength range 10000–4000 cm−1 were acquired. SVDD performed calibrate discrimination model, and some parameters model optimized. Meanwhile, conversional two-class classification method—support machine (SVM) used comparatively for classification. Compared SVM classification, showed its superior ability dealing imbalance training samples. When the proportion number Pseudostellariae from Anhui province (the area where genuine crude cultivated) other provinces one sixteen, identification rate 92.5% prediction set. This work indicates that NIR is an excellent choice building one-class calibration
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