红外, 2010, 31 (1): 30, 网络出版: 2010-05-31   

应用近红外光谱快速鉴别不同年龄段人食用的奶粉品种

Fast Discrimination of Varieties of Different Age Rank Milk Powder Using Near Infrared Spectroscopy
作者单位
中南大学化学化工学院中草药现代化研究中心,湖南 长沙 410083
摘要
应用近红外光谱分析技术(NIRS)并结合支持向量机(SVM),对三种不同年龄段人食用的奶粉品种进行了鉴别。先采用Kennard-Stone 法对150个样本进行挑选,选出120个作为训练集,剩余的30个作为预测集。实验中选用径向基函数(RBF)为核函数,采用二次网格搜索和五 折交叉验证优化两个建模参数:核参数[EQUATION]和惩罚因子[EQUATION],最佳值为[EQUATION]0.03125,[EQUATION]2048。用最优参数值建立的校正模型,对 训练集和预测集的判别率均可达到100%。与主成分分析(PCA)进行了比较。结果表明,SVM鉴别准确率高于PCA,说明近红外光谱可以快速、准确 地鉴别不同年龄段人食用的奶粉品种。
Abstract
Three kinds of different age rank milk powder are identified by using the near infrared spectroscopy with support vector machines (SVM). First, the Kennard-Stone method is used to select 120 training sets from 150 samples and other 30 samples are used as the prediction sets. In the experiment, the radial basis function is selected as the kernel function and the two-step grid searching and five-fold cross validation are used to optimize two model parameters: kernel function [EQUATION] and penalty factor C. The optimal [EQUATION] and C are 0.03125 and 2048 respectively. The correction model established with the optimal parameters has an identification rate of 100% for both training sets and prediction sets. By comparison with the principal component analysis (PCA), the SVM exhibits its higher identification accuracy. This shows that the near infrared spectroscopy can identify the varieties of different age rank milk powder quickly and accurately.

唐玉莲, 梁逸曾, 范伟, 张华秀. 应用近红外光谱快速鉴别不同年龄段人食用的奶粉品种[J]. 红外, 2010, 31(1): 30. TANG Yu-Lian, LIANG Yi-Zeng, FAN Wei, ZHANG Hua-Xiu. Fast Discrimination of Varieties of Different Age Rank Milk Powder Using Near Infrared Spectroscopy[J]. INFRARED, 2010, 31(1): 30.

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