Study on the Composition Analysis and Identification of Ancient Glass Products
DOI:
https://doi.org/10.54097/hset.v33i.5286Keywords:
Correlation analysis, Clustering algorithm, T test, Random forest.Abstract
The Silk Road was an important channel for cultural exchanges between ancient China and the West, and glass was a precious material evidence of early trade exchanges. Early glass was often made into ornaments and introduced into China. After absorbing its technology, ancient Chinese glass was made locally, similar to its appearance but different in chemical composition. Due to different fluxes added during refining, the glass can be divided into lead barium glass and potassium glass, ancient glass is easily weathered by burial environment. In the weathering process, due to a large amount of exchange between internal elements and external elements, the proportion of their components changes, which affects the correct judgment of their categories. The research on the relevant properties of ancient cultural relics is a major topic in the field of archaeology in China, which is of great significance. There are a number of relevant data on ancient glass products in China. Archaeologists have divided them into two types: high potassium glass and lead barium glass.In order to explore the relevant properties and chemical composition changes of these glass relics before and after weathering, this paper analyzes the classification rules of high potassium glass and lead barium glass; The classification results were analyzed for rationality and sensitivity.
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