In the early years of the country, China used the Silk Road to trade glass, learn how to make it and make it. As a result, the glass made in China was similar in appearance to exotic glass, but differed in chemical composition. The main objective of this paper is to develop a compositional analysis and identification model for ancient glass objects, which can be used to study the degree of surface weathering of glass objects and its relationship to glass type, decoration and color, as well as the types of glass objects that belong to unknown categories. The chemical composition content of the pre-weathering artifacts was further predicted and the correlation between the chemical components was analyzed. This paper introduces a glass classification method based on principal component analysis and a Gaussian mixture model with the expectation maximization principle for the identification of glass artifacts. Then a confusion matrix was introduced to perform sensitivity analysis on the model, and the correct and recall rates were 0.911 and 0.844, respectively, with good scores.

Tianyu Zhu. A study of the composition of ancient glass based on a principal component analysis model. Academic Journal of Materials & Chemistry (2023) Vol. 4, Issue 2: 1-5. https://doi.org/10.25236/AJMC.2023.040201.

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