Study on Composition Analysis and Identification of Ancient Glass Products
DOI:
https://doi.org/10.54097/hset.v21i.3152Keywords:
time series; XGBoost classification; PSO-BP neural network; Glass relicsAbstract
The introduction of ancient glass products, to a large extent, promoted the economic development at that time, but due to the influence of burial environment, a glass product was weathered, which brought great challenges to archaeologists. Therefore, it is particularly important to study the composition of ancient glass products. In this paper, multiple models are established for analysis, providing a certain reference for archaeologists.
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