%0 Journal Article
%T Application of Near Infrared Spectroscopy and Pattern Recognition Model in Discrimination of Xihu Longjing Tea and Zhejiang Longjing Tea<br>近红外光谱和模式识别技术在西湖龙井与浙江龙井茶叶鉴别中的应用
%A zhanglong
%A Wang Feijuan
%A Pan Jiarong
%A Zhu Cheng
%A <br>张 龙
%A 王飞娟
%A 潘家荣
%A 朱 诚
%J 红外
%D 2012
%I 
%X To discriminate Xihu Longjing Tea and Zhejiang Longjing Tea,a recognition model was established by using a near infrared spectroscopy combined with chemometrics.First,the raw spectra were preprocessed with the Standard Normal Variant(SNV) function.Then,the Xihu Longjing Tea and Zhejiang Longjing Tea were predicted respectively with three models of Partial Least Square Regression- discriminant analysis(PLS-DA),Least Square Support Vector Machine(LSSVM) and Radial Basis Function Neural Network(RBFNN).The parameters of the LSSVM were optimized via grid search and leaveone -out cross-validation technologies.After optimization,the penalty coefficient(γ) and kernel function (δ~2) were 229.1 and 124.9 respectively.The best number of the neuron in hidden layer of RBFNN was 27. By comparison,LSSVM had the best prediction performance.Its RMSECV and R~2 in the calibration set were 0 and 1 respectively while its RMSEP and R~2 in the validation set were also 0 and 1 respectively. As a result,the Xihu Longjing Tea and Zhejiang Longjing Tea were classified correctly.
%K Zhejiang longjing
%K Xihu longjing
%K Near infrared spectroscopy
%K partial least square regression-discriminant analysis
%K least square support vector machine
%K radial basis function neural network<br>浙江龙井茶叶
%K 西湖龙井茶叶
%K 近红外光谱
%K 偏最小二乘回归判别分析
%K 最小二乘支持向量机
%K 径向基神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=3723000AE493FCE650601982177048B1&aid=F2166A6AC62A3C486829199A2F14F673&yid=99E9153A83D4CB11&vid=27746BCEEE58E9DC&iid=38B194292C032A66&sid=1AE5323881A5ECDC&eid=B6DA1AC076E37400&journal_id=1672-8785&journal_name=红外&referenced_num=0&reference_num=15