Composition Analysis and Identification of Ancient Glass Products
DOI:
https://doi.org/10.54097/hset.v40i.6794Keywords:
Spearman Correlation Coefficient, Grey Correlation Analysis, Principal Component Analysis.Abstract
Ancient glass products are valuable evidences for studying the cultural exchanges between China and the West in ancient times. Because ancient glass is easily weathered by the influence of burial environment, its chemical composition changes, which affects the correct judgment of glass types. This paper mainly makes full use of the known sample data through the establishment of statistical models, classification models, correlation analysis models, and the combination of numbers and shapes, The important indexes affecting surface weathering are studied respectively; The chemical composition law, classification, correlation and difference of glass cultural relics have been established, and a high accuracy identification model of glass cultural relics has been established, which is of great significance to the identification of glass cultural relics.
Downloads
References
Sun Yuyi, Chen Di, Li Zhen. Visualization analysis of TCM medical records based on clustering algorithm [J]. Modern Trade Industry, 2022,43 (02): 196 - 198. DOI: 10.19, 311/j.cnki.1672-3198.2022.02.074Zhu Aiqing, Wang mi mi, Luo Yulan. Evaluation of Forest Ecosystem Service Value in Huangshan Scenic Area [J]. Garden, 2021.
Zou Chenhong, Yuan Man. Research on the systematic clustering algorithm of fuzzy comprehensive evaluation [J]. Journal of Jilin University (Information Science Edition), 2018, 36 (05): 441 - 448. DOI: 10.19292/j.cnki.jdxxp.2018.05.013Zhang Yunqing. Development of the Harvest Table of Pine Fir Tree Forest Experience [J]. Journal of Fujian Forestry, 2006 (03).
Zhang Shouyu, Feng Weishu. Research on generating normal distribution sample data based on Bootstrap method [J]. Journal of Equipment Command Technology College, 2009, 20 (02): 97 - 100Yang Hongqiang, Qi Chunyi, Yang Hui, Nie Ying, Chen Xingliang. Contribution of China 's Forest Products under Global Climate Change: Based on Wooden Forest Product Carbon Function [J]. Journal of Natural Resources.
Wei Xu Feature fusion based on principal component analysis and its application [D]. University of Electronic Science and Technology of China, 2008Wang Tianke, Feng Zongzhen. The potential of plants in Chinese forest ecosystems [J]. Journal of Ecology, 2000 (04): 72 - 74.
Wang Peng, Zhang Jingyu, Shi Wen, Yu Wenzonghui, Shi Shuai. Research on the classification of ancient prescriptions based on decision tree algorithm [J]. Information and Computer (Theory Edition), 2021, 33 (10): 45 - 48Li Chunjing, Jiang Renzhong. Study on the growth model and application of Plain Farmland Protection Forests [J]. Journal of Xinyang Teachers College (Natural Science Edition), 2005 (03).
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







