Composition Analysis and Identification of Ancient Glass Products Based on OLS

Authors

  • Shengkai Hu
  • Youquan Xiong

DOI:

https://doi.org/10.54097/hset.v22i.3403

Keywords:

OLS, glass composition identification, Cluster analysis.

Abstract

In order to explain the relationship between surface weathering and its glass type, decoration and color, this paper adopts multiple linear regression for research and analysis. The test results show that the pattern B is easier to weather than the pattern A and C when other factors remain unchanged, and the type of high potassium is more difficult to weather than the type of lead barium when other factors remain unchanged.

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References

Li Mo. Preparation of Fayons products and research on lead-barium glass during the Warring States Period, Qin and Han Dynasties [D]. Beijing University of Chemical Technology ,2014.

Wang Jie, Li Mo, Ma Qinglin, Zhang Zhiguo, Zhang Meifang, Wang Julin. A Study on Weathering of an Octagonal Pillar-shaped Lead-Barium Glassware in the Warring States Period [J]. Glass and Enamel ,2014,42(02):6-13.

Gu Liujin, Chen Gang. Interaction of multivariate analysis and implementation of SPSS software [J]. Preventive Medicine, 2022, 34(08): 863-864.

Qi Feng, Yang Yichen. Using SPSS Cluster Analysis to Predict Outliers [J]. China Metrology, 2022(05):89-91.

Chen Hong, Chen Xue. Mathematical modeling of task pricing model for "taking pictures to make money" [J]. China New Communication, 2018, 20(10): 232.

Wu Xiaoping.Application of Least Squares Method in Mathematical Modeling [J]. Jiangxi Education ,2021(21):29-30.

Zhong Wenjing, Jiao Zhongming, Cai Le. Cluster Analysis of Student Achievement Based on K-Means Algorithm [J]. Educational Technology, 2021(05):56-58.

Fan Fan.Application of Linear Regression in Analytical Chemistry [J]. Small and Medium Enterprises Management and Science and Technology (Latest Issue),2013(06):223.

Wang Lingyan, Zhang Xinyu , Xu Shengnan , Wang Yuli , Zhen Zhilong . Sensitivity analysis of logistic regression and its application in feature selection [J]. Information Recording Materials, 2022,23(07):30-33.

Yi Yueming, Liang Gefu. Differentiation and Analysis of Principal Component Analysis and Factor Analysis——Also Discussing with Liu Hongxia and Other Comrades [J]. Accounting Friends (Earlier Period), 2010(09):86-88.

Wang Qingrong. Research and application of functional principal component analysis and functional linear regression model [D]. Chongqing Technology and Business University, 2020.

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Published

07-12-2022

How to Cite

Hu, S., & Xiong, Y. (2022). Composition Analysis and Identification of Ancient Glass Products Based on OLS. Highlights in Science, Engineering and Technology, 22, 356-360. https://doi.org/10.54097/hset.v22i.3403