Analysis of the chemical composition of ancient glass products and identification of the types to which they belong
DOI:
https://doi.org/10.54097/hset.v33i.5312Keywords:
Ancient glassware; DBI index; gradient ascent tree; random forest.Abstract
The Silk Road is a land artery connecting China and the West, an important passage for East-West trade, and glass products are one of the treasures of early exchanges. Due to different production techniques, the composition and performance of Eastern and Western glass are often very different, but the identification of glass has always been a problem in ancient times. Aiming at the analysis of the composition and source of ancient glass products, this paper designs a mathematical model to avoid duplication of work. Based on the data, this paper calculates the classification rules of the main components of high potassium glass, lead-barium glass; and by selecting the appropriate chemical components as the subcomponents for each category, the specific division methods and division results are given, and the rationality and sensitivity of the classification results are analyzed. And the chemical composition of the unknown category of glass artifacts is identified by the model to identify the type they belong to, and the sensitivity of the classification results is analyzed.
Downloads
References
Liu Jing. Research on Sino Western Art Exchange from the Perspective of the Silk Road [J]. Grand View of Art, 2020 (02): 80-81
Wang Yinghua. Study on the Transformation of the Artistic Value of "Dead Characters" on the Silk Road [J]. Overseas Chinese Garden, 2021 (07): 90-91
Chen Liang, Li Xi, Deng Qian, Wei Hua Composition identification characteristics of gem grade natural glass [C]//. Proceedings of China International Jewelry and Jewelry Academic Exchange (2019). [Publisher unknown], 2019:283-287
Yellow glow red Detection of mudstone lithology and weathering degree based on depth learning [D]. University of Electronic Science and Technology of China, 2022
Tang Lin. Research on fast recognition algorithm of automatically picked target images based on K-means clustering algorithm [J]. Research on Agricultural Mechanization, 2023,45 (05): 32-36
Lin Lei, Sun Jianmeng Research on well logging facies establishment method based on K-means clustering and elbow rule [C]// Proceedings of the 2020 China Geoscience Joint Academic Conference (XXVI) - Topic 76: Deep Mineral Resources Exploration Technology and Application, Topic 77: Petrophysics and the Frontier of Borehole Exploration, Topic 78: Borehole Geophysics and Deep Drilling and Surveying, 2020: 224-227
Wang Yuxuan, Liu Xinggang, Li Wenyi, Luo Xiaochuan. Research on motor bearing fault diagnosis method based on Bayesian optimization limit gradient ascending tree method [J]. Large Motor Technology, 2022 (03): 33-36+54
Zhang Yunfeng, Zhang Chao, Lv Zhao. Residual full connection network dynamic gesture recognition method based on key points [J]. Journal of Anhui University (Natural Science Edition), 2022,46 (02): 30-38
Beta and Alpha Regularizers of Mish Activation Functions for Machine Learning Applications in Deep Neural Networks [J]. 2022(12): 10-11
Mish: A Self-Regularized Non-Monotonic Activation Function [J]. 2020, 32(02):6-7.
Ye Congzhou, Xiao Penglin, Qin Jun, Zhang Chengxiong, Chen Lie, Wang Ke. Research on prediction model of energy consumption load of super large buildings based on clustering and random forest regression [J]. Green Building, 2022-14 (05): 48-51+55
Zhu Qiuzhen, Wu Qunyong, Yao Chengxin, Sun Haoyu. Fine division and recognition of traffic state based on DBI and sparse trajectory data [J]. Journal of Geoinformation Science, 2022, 24 (03): 458-468
Wei Jiandong, Lu Jianfeng, Peng Furong. Research on a hierarchical initial clustering method with adaptive number of clusters [J]. Electronic Design Engineering, 2015, 23 (06): 5-8
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
How to Cite
