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基于红外光谱数据的中药药性识别研究
引用本文:刘进,邓家刚,覃洁萍,冯旭,王丽丽,罗祖良,韦日伟. 基于红外光谱数据的中药药性识别研究[J]. 时珍国医国药, 2010, 21(3)
作者姓名:刘进  邓家刚  覃洁萍  冯旭  王丽丽  罗祖良  韦日伟
作者单位:1. 广西师范学院,广西,南宁,530023
2. 广西中医学院,广西,南宁,530001
基金项目:国家"973"计划资助项目 
摘    要:目的 探讨中药红外光谱与药性的相关性.方法 以红外光谱数据为分类指标,用主成分分析提取主成分,然后采用交叉验证法对不同药性中药进行交叉训练,建立中药药性的预测模型.结果 该模型对预测集中平性药的识别正确率为83.33%,对非平性药的识别正确率为82.5%,总正确率82.89%,结论中药红外光谱与药性具有一定的相关性.

关 键 词:主成分分析  支持向量机  红外光谱  中药药性

Study on the Property Recognition of Traditional Chinese Medicines Based on Infrared Spectrum
LIU Jin,DENG Jia-gang,QIN Jie-ping,FENG Xu,WANG Li-li,LUO Zu-liang,WEI Ri-wei. Study on the Property Recognition of Traditional Chinese Medicines Based on Infrared Spectrum[J]. Lishizhen Medicine and Materia Medica Research, 2010, 21(3)
Authors:LIU Jin  DENG Jia-gang  QIN Jie-ping  FENG Xu  WANG Li-li  LUO Zu-liang  WEI Ri-wei
Affiliation:LIU Jin1,DENG Jia-gang2,QIN Jie-ping2,FENG Xu2,WANG Li-li2,LUO Zu-liang2,WEI Ri-wei2(1.Guangxi Normal University,Nanning 530023,China,2.Guangxi Traditional Chinese Medical University,Nanning 530001,China)
Abstract:Objective To explore the relationship between the properties of traditional Chinese medicine(TCM) and infrared spectrum data.Methods The infrared spectrum data of TCM were selected as indexes,and the principal components of the data were found out through PCA and trained with cross validation method through SVM,so as to establish the neutral and non-neutral property of TCM prediction model.Results The model recognition accuracy for the neutral medicine in prediction set was 83.33%,and 82.5% for non-neutral ...
Keywords:PCA  SVM  Infrared spectrum  TCM property recognition
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