古代玻璃制品的化学成分分析与相关性研究  

Classification Analysis and Correlation Reasearch of Chemical Composition of Ancient Glass Products

作　　者：张帅凡 孙瑞娟[1] 任涵卓 ZHANG Shuai-fan;SUN Rui-juan;REN Han-zhuo(Shanxi Agricultural University,Taigu 030800,China)

机构地区：[1]山西农业大学,山西太谷030800

出　　处：《化工管理》2023年第8期138-141,164,共5页Chemical Engineering Management

摘　　要：古代玻璃制品化学成分之间的相关性对研究古代文物有重要作用,目前古代玻璃制品主要分为高钾玻璃和铅钡玻璃,古代玻璃制品化学成分的相关性对于玻璃的分类具有十分重要的作用。文章对一批中国古代玻璃样品的基本信息和化学成分比例等相关数据进行分析,得出古代玻璃不同化学成分与玻璃表面风化之间的相关性,在此基础上构建Fisher线性判别分析进行古代玻璃的分类。文章面向不同类型的古代玻璃采用灰色关联分析进行古代玻璃化学成分间的关联性研究,并用总体的平均值和k-mean聚类分析鉴别玻璃化学成分间的差异性。The correlation between the chemical components of ancient glass products plays an important role in the study of ancient cultural relics.Currently,ancient glass products are mainly divided into high potassium glass and lead barium glass.The correlation between the chemical components of ancient glass products plays a very important role in the classification of glass.In this paper,the basic information and chemical composition ratio of a batch of two kinds of ancient glass samples were analyzed,and the correlation between different chemical compositions of ancient glass and the weathering of glass surface was obtained.Based on the correlation between different chemical compositions of ancient glass and the weathering of glass surface,Fisher linear discriminant analysis was constructed to classify ancient glass.For different types of ancient glass,grey correlation analysis is used to analyze the correlation between the chemical compositions of ancient glass,and the difference between the chemical compositions of ancient glass is identified by the overall mean value and k-mean cluster analysis.

关 键 词：逻辑回归模型 FISHER线性判别分析 灰色关联分析 

分 类 号：TQ071[化学工程]