Exploration of the composition of ancient glass artifacts based on optimization algorithms

Abstract

The Silk Road facilitated exchanges between East and West, where glass played a significant role. However, ancient glass artifacts are susceptible to weathering, leading to changes in their chemical composition. This article explores the relationship between weathering and explanatory variables of glass type, color, and decoration. It presents a method for predicting the weathering degree of glass artifacts and their chemical composition content before weathering. Descriptive statistics are used to calculate the weathering degree and variation of each chemical component content, allowing for quantification of the impact of weathering on the proportion of chemical components. Logistic regression is used to obtain regression coefficients of the weathering degree and other attributes. Various measures, including correlation coefficients and significance tests, are calculated to assess the predictive power of the explanatory variables. The proposed method is valid for predicting the chemical composition proportion data before weathering, which aids further research in the archaeological field. Overall, this article provides a comprehensive approach to understanding the effect of weathering on ancient glass artifacts and predicting their chemical composition content before weathering.