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

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。

Application of Three-Dimensional Fluorescence Spectra Technique to Discrimination of Distilled Spirits Based on Support Vector Machines

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...