Research on Composition Analysis Identification and Protection of Ancient Glass Products based on FCM

Yutong Fu, Xiaorui Sun, Tingting Gui, Sui Li
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Abstract

After flowing into China along the Silk Road, glass has been circulating in the local territory for thousands of years. In the process of smelting, craftsmen of successive dynasties added different cosolvents, and the composition structure has its own characteristics. By studying the composition and material changes of ancient glass relics, it can provide theoretical support for archeologists to analyze the background of glass unearthed relics, which is of great research value.In this paper, the composition identification and analysis of ancient glass components were taken as the research objective, and different kinds of glass were divided according to different chemical compositions and organizational structures. Influencing factors and countermeasures of glass cultural relics weathering over the years; Further study on the protection of Chinese glass relics. Using correlation analysis, principal component analysis, FCM fuzzy clustering and other methods to analyze the above problems, and draw a conclusion.The innovation of this paper is to pretreat the ancient glass conditions and quantize the features to show the visual diagram; A variety of clustering models are established to ensure the accuracy of the conclusions. Considering the research problem in combination with the actual situation, the sub-classification situation has more practical reference value: both error analysis and sensitivity analysis are taken into account to ensure the reliability of the research.
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基于FCM的古玻璃制品成分分析、鉴定及保护研究
玻璃沿着丝绸之路流入中国,在当地流传了数千年。历代工匠在冶炼过程中加入不同的共溶剂,成分结构各有特色。通过研究古代玻璃文物的组成和材料变化,可以为考古学家分析玻璃出土文物的背景提供理论支持,具有重要的研究价值。本文以古代玻璃组分的成分鉴定与分析为研究目标,根据不同的化学成分和组织结构对不同种类的玻璃进行了划分。玻璃文物历年风化的影响因素及对策中国玻璃文物保护的进一步研究。运用相关分析、主成分分析、FCM模糊聚类等方法对上述问题进行分析,并得出结论。本文的创新之处在于对古玻璃状态进行预处理,并将特征量化,呈现可视化的图形;为了保证结论的准确性,建立了多种聚类模型。结合实际情况考虑研究问题,子分类情况更具有实际参考价值:既考虑误差分析,又考虑灵敏度分析,保证研究的可靠性。
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