Classification of Panax Quinquefolium L. and Panax Ginseng C.A.Mey. Based on FTIR Analysis with SVM
LI Dan-ting1,CHENG Cun-gui1*, DU Zheng-xiong2, HE You-qiu2, KONG Li-chun1
1. College of Chemistry and Life Science，Zhejiang Normal University，Jinhua 321004，China 2. School of Chemistry and Chemical Engineering，Southwest University，Chongqing 400715，China
Abstract：The support vector machine (SVM ) is a new learning technique based on the statistical learning theory. In the present paper, forty Panax quinquefolium L. samples were used as experimental materials. The classification models were established using Fourier transform infrared spectra(FTIR)-SVM training method with the intention of identifying whether the Panax quinquefolium L. samples are genuine or they are just Panax ginseng C.A.Mey. samples. The thirty samples in training set were identified by the classifying models with an accurate rate of 100%, while the ten estimate samples had an accurate rate of 90%. The research result shows the feasibility of establishing the models with FTIR-SVM method to identify Panax quinquefolium L. samples and Panax ginseng C.A.Mey.
李丹婷1,程存归1*,杜正雄2,何佑秋2,孔黎春1. 基于FTIR-SVM的西洋参与籽播参的分类研究[J]. 光谱学与光谱分析, 2006, 26(12): 2186-2189.
LI Dan-ting1,CHENG Cun-gui1*, DU Zheng-xiong2, HE You-qiu2, KONG Li-chun1. Classification of Panax Quinquefolium L. and Panax Ginseng C.A.Mey. Based on FTIR Analysis with SVM. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 26(12): 2186-2189.
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