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Academic Journal of Materials & Chemistry, 2023, 4(3); doi: 10.25236/AJMC.2023.040307.

A study on the composition analysis of ancient glass products based on logistic model


Jinglin Gong, Qing Cai, Jianfei Hang

Corresponding Author:
Jianfei Hang

Yangzhou University, Yangzhou, Jiangsu, 225009, China


As the first items traded on the Silk Road, the study of the chemical composition of glass before and after weathering is of great importance. In order to analyses the classification law of high potassium glass and lead-barium glass, this paper first normalizes the content of each chemical composition, then establishes a logistic regression model to solve the classification law of the two types of glass before and after weathering, and carries out the test of the logistic model, and finds that the accuracy of the model is as high as 83.3%, with good results. Therefore, the classification of this paper is considered reasonable.


Logistic model, Classification study, Ancient glassware

Cite This Paper

Jinglin Gong, Qing Cai, Jianfei Hang. A study on the composition analysis of ancient glass products based on logistic model. Academic Journal of Materials & Chemistry (2023) Vol. 4, Issue 3: 47-50. https://doi.org/10.25236/AJMC.2023.040307.


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