Ancient glass classification based on data mining methods
DOI:
https://doi.org/10.54097/hset.v22i.3355Keywords:
Glass weathering; Glass classification; Random forest model; SVM model.Abstract
Ancient glass is highly susceptible to weathering by the burial environment, and a large number of internal elements are exchanged with environmental elements, resulting in changes in its composition ratio, which affects the correct determination of its category. In this paper, we analyze the statistical pattern of the chemical composition content of the surface of artifact samples with and without weathering and predict the chemical composition content of artifacts before weathering by combining the types of glass. A random forest algorithm and a support vector machine algorithm are used to classify the glass, and a sensitivity analysis is performed, and the model is robust.
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