Author:
He Gongcheng,Zhao ZeLin,Lin Yujie
Abstract
Glass is a valuable physical evidence of ancient Silk Road trade, and ancient glass in China was made locally by absorbing its technology, and it is difficult to distinguish from foreign glass products in appearance, but the internal chemical composition of the two is different. Therefore, this paper focuses on the chemical composition data of the collected ancient glass artifacts, and uses fuzzy C-means aggregation to analyze and identify the composition of ancient glass. The results show that the classification of ancient glass artifacts using fuzzy C-mean clustering is reasonable. The experimental results and experimental data processing methods provide a new way to study ancient Chinese glass artifacts.
Publisher
Darcy & Roy Press Co. Ltd.
Reference10 articles.
1. Wang Y, Liu W, Lin Z. Component Analysis and Identification Model of Ancient Glass Products Based on Correlation Analysis[J]. Analytical Chemistry: A Journal, 2022, 1(1): 75-83.
2. Yao S, Yang Nie W Z, Yang X. Study on Composition Analysis and Identification of Ancient Glass Products[J].
3. Yifan Yuan, Shitong Li, Yiqing Huang. Study the Chemical Composition Content of Ancient Glass Products before Weathering[J]. Analytical Chemistry A Journal,2022,1(1).
4. Origin of Chinese ancient glasses——study on the earliest Chinese ancient glasses[J]. Science in China (Series E: Technological Sciences),2006(06):701-713.
5. FU Xiu feng, GAN Fu xi. Chemical composition analysis of some ancient glasses unearthed from southern and southwestern China [J]. Sciences of Conservation and Archaeology, ,2006(04): 6-13.DOI: 10.16334/j.cnki.cn31-1652/k.2006.04.002.