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has been cited by the following article:

• 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.