基于 CART 模型的玻璃文物成分研究

Mingyu An, Daolong Yuan, Suyang Liu, Jialei Ding
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引用次数: 0

摘要

根据玻璃样品的各项指标,对各类玻璃样品的指标进行聚类分析,并进行等级划分,预测风化前玻璃样品的化学成分,对未知玻璃样品进行检测,并通过适当的方法对玻璃样品中的化学成分进行相关分析。对于文物表面风化程度与玻璃样品的种类、纹饰、颜色之间的关系,将风化程度与玻璃样品的种类、纹饰、颜色对应为单侧因素,并通过柱状图对两者的关系进行了初步探讨。结果表明,风化程度与三项指标存在一定的倍数关系。为了进一步定量研究其关系,我们使用了相关热图进行分析。可以得出结论,文物类型与表面风化的相关性最强,相关度达到 0.4,而颜色和纹饰的相关性分别为 0.013 和 0.12,相对较低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on the composition of glass relics based on CART model
Based on each index of glass samples, the  indexes of all kinds of glass sample cluster analysis, and the class divide, it is to predict the chemical composition of glass samples which before weathering, the unknown glass samples for testing, and a correlation analysis of chemical composition in glass samples was carried out through the appropriate method. As for the relationship between the weathering degree of cultural relics surface and the type, ornamentation and color of glass samples, the weathering degree and the type, ornamentation and color of glass samples were corresponding to unilateral factors, and the relationship was preliminarily explored by bar charts. It was concluded that the weathering degree had a certain multiple relationship with the three indexes. In order to further study the relationship quantitatively, we used the correlation thermogram to analyze. It can be concluded that the type of cultural relics has the strongest correlation with surface weathering, the correlation degree reaches 0.4, while the correlation of color and ornamentation are 0.013 and 0.12, which are relatively low.
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