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基于支持向量机的近红外光谱鉴别茶叶的真伪
引用本文:陈全胜,赵杰文,张海东,王新宇.基于支持向量机的近红外光谱鉴别茶叶的真伪[J].光学学报,2006,26(6):33-937.
作者姓名:陈全胜  赵杰文  张海东  王新宇
作者单位:1. 江苏大学食品与生物工程学院,镇江,212013
2. 江苏大学食品与生物工程学院,镇江,212013;云南农业大学工程技术学院,昆明,650201
基金项目:国家自然科学基金(30370813),国家术863计划(2002AA248051)资助课题
摘    要:快速准确地鉴别名优茶的真伪是当前茶叶行业亟待解决的一项重大课题。针对这一现状,提出了一种快速准确鉴别名优茶真伪的新思路。试验中,以碧螺春茶为研究对象,利用近红外光谱分析技术结合支持向量机(SVM)模式识别原理建立碧螺春茶真伪鉴别模型。试验结果显示,通过标准归一化(SNV)预处理,选取6500~5500 cm-1波长范围内的光谱经过主成分分析后,提取11个主成分,选用径向基函数(RBF)作为核函数建立的模型最佳。对训练集中的138个茶叶样本,模型的回判鉴别率达到93.48%;对90个独立样本进行预测时,模型的预测鉴别率达到84.44%。研究结果表明基于支持向量机的近红外光谱鉴别名优茶真伪的方法是可行的。

关 键 词:光谱学  近红外光谱  支持向量机  鉴别  茶叶
文章编号:0253-2239(2006)06-0933-5
收稿时间:2005-07-18
修稿时间:2005-10-28

Indentification of Authenticity of Tea with Near Infrared Spectroscopy Based on Support Voctor Machine
Chen Quansheng,Zhao Jiewen,Zhang Haidong,Wang Xinyu.Indentification of Authenticity of Tea with Near Infrared Spectroscopy Based on Support Voctor Machine[J].Acta Optica Sinica,2006,26(6):33-937.
Authors:Chen Quansheng  Zhao Jiewen  Zhang Haidong  Wang Xinyu
Institution:1. School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013;2. College of Engineering and Technology, Yunnan Agricultural University, Kunming 650201
Abstract:It is urgent to think up a quick and precise method in the discrimination of the famous tea.A new discriminate method of tea is proposed.In this study,Biluochun tea serves as the target and the model for discriminating the authenticity of tea is built up using near-infrared spectroscopy combined with the pattern recognition of support vector machine(SVM).The experimental result shows that in the spectra region between 6500 cm~(-1) and 5300 cm~(-1),the best model is built by the standard normal variate(SNV) preprocessing,when 11 principal components are selected and the radial basis function(RBF) is used as the kernel function.The discriminate rate of the model for 138 samples in training set is 93.48%,and 84.44% for 90 samples in predicting set.The research shows that it is feasible to apply near-infrared spectroscopy to discriminate the authenticity of the famous tea based on SVM.
Keywords:spectroscopy  near-infrared spectroscopy  support vector machine(SVM)  identification  tea
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