光谱学与光谱分析, 2010, 30 (1): 243, 网络出版: 2010-07-13   

基于最小二乘支持向量机算法的三维荧光光谱技术在中国白酒分类中的应用

Application of Three-Dimensional Fluorescence Spectra Technique to Discriminati on of Distilled Spirits Based on Support Vector Machines
作者单位
1 江南大学 通信与控制工程学院,江苏 无锡 214122
2 江南大学 理学院,江苏 无锡 214122
3 江南大学 生物工程学院,江苏 无锡 214122
摘要
为了对白酒的鉴别分类方法进行创新研究,文章对近百种白酒的荧光光谱进行了测定,并合成其三维荧光光谱图。 经对比研究和反复仿真实验发现,通过所提取的白酒三维荧光光谱的3个特定参数,可以实现对白酒种类的准确分类。 分类的准确率可达87%以上。 为了证明所选参数对白酒分类的有效性,把最小二乘支持向量机应用到白酒的鉴别分类中,并通过计算机模拟进行验证。 同时还应用经典支持向量机、概率神经网络对所提取的相同数据进行分类和仿真,并将其仿真结果与使用最小二乘支持向量机仿真的结果进行比较。 结果发现,使用最小二乘支持向量机可以取得更为准确的分类结果。
Abstract
In order to study the identifying and classification method of distilled spirits,about 100 kinds of normative distilled spirits were selected as the laboratory samples and their fluorescence spectra induced by ultraviolet light were measured by Roper-Scientific SP-2558 respectively. Then,using the statistics and plot software Origin 7.5,the authors composed the three-dimensional fluorescence spectra of the distilled spirits. In the meanwhile,the three-dimensional fluorescence spectra of the distilled spirits were also studied respectively. The authros compared the three-dimensional fluorescence spectra of different distilled spirits with the same brands and that of different spirits with the same brands. The authors are very confident that there must be some typical parameters,by which the authors can distinguish different kinds of distilled spirits with different brands effectively. And the authors found that while the three-dimensional fluorescence spectra of different distilled spirits with different brands are definitely different by their three typical parameters including the number of the major summit,position of the major summit and optimum wavelength,the three typical parameters of the three-dimensional fluorescence spectra of different distilled spirits with the same brand are very similar. Finally,the authors extracted the three typical parameters that are the number of the major summit,position of the major summit and optimum wavelength. Then,the data were processed by computer for emulation. As a result,the authors found that,using the three characteristic parameters,different kinds of distilled spirits can be classified accurately by the algorithm of LS-SVM(least-squares support vector machine). The outcomes of the data emulated by different algorithms were obtained seriatim. The authors compared the outcomes, and the fact proved that more accurate outcome of identifying and classification can be obtained by LS-SVM.

杨建磊, 朱拓, 徐岩, 范文来, 武浩. 基于最小二乘支持向量机算法的三维荧光光谱技术在中国白酒分类中的应用[J]. 光谱学与光谱分析, 2010, 30(1): 243. YANG Jian-lei, ZHU Tuo, XU Yan, FAN Wen-lai, WU Hao. Application of Three-Dimensional Fluorescence Spectra Technique to Discriminati on of Distilled Spirits Based on Support Vector Machines[J]. Spectroscopy and Spectral Analysis, 2010, 30(1): 243.

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