TITLE:
The Establishment of Mathematical Models for the Composition Analysis and Identification of Ancient Glass Products
AUTHORS:
Jenny Zhang, Ding Li, Yu Xie, Junfeng Xiang
KEYWORDS:
Principal Component Analysis, System Clustering, Sensitivity Analysis, Binary Classification Model, Logistic Regression Analysis, Grey Correlation Analysis
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.13 No.11,
November
29,
2023
ABSTRACT: Glass is the precious material evidence of the trade of the early Silk
Road. The ancient glass was easily affected by the environmental impact and weathering, and the
change of composition ratios affected the correct judgment of its category. In
this paper, mathematical models and methods such as Chi-square test, weighted
average method, principal component analysis, cluster analysis, binary
classification model and grey correlation analysis were used comprehensively to
analyze the data of sample glass products combined with their categories. The
results showed that the weathered high-potassium glass could be divided into 12,
9, 10 and 27, 7, 22 and so on.