Academic Journal of Materials & Chemistry, 2023, 4(2); doi: 10.25236/AJMC.2023.040208.
Zhilin Huang1, Yali Xiong1, Yifeng Fu2, Feng Li3
1Department of Finance and Economics, Nanchang University College of Science and Technology, Jiujiang, 332020, China
2Department of Information Sciences, Nanchang University College of Science and Technology, Jiujiang, 332020, China
3Department of Basic Sciences, Nanchang University College of Science and Technology, Jiujiang, 332020, China
In ancient times, glass was a valuable object of trade between China and the West, with potassium glass and lead-barium glass being common. In order to classify and identify ancient glass objects, this paper establishes a relevant classification model based on the chemical composition of glass, which is of some significance for the classification and analysis of glass. In this paper, the frequency distribution of each component is plotted as non-standard normal distribution, and then Spearman correlation coefficient is selected to describe its correlation, and it is found that SiO2 has a more active relationship with other components, so it is chosen as the reference column for grey correlation analysis, and it is concluded that SiO2 is closely related to the flux component of its glass type.
Glass products, Grey correlation, Classification study
Zhilin Huang, Yali Xiong, Yifeng Fu, Feng Li. A study of the problem of compositional analysis of ancient glassware based on grey models. Academic Journal of Materials & Chemistry (2023) Vol. 4, Issue 2: 45-51. https://doi.org/10.25236/AJMC.2023.040208.
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