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23 August 2023 Classification and prediction model of ancient glass based on AP-CART
Juanjuan Wang, Wenjian Wu, Yayun Wang, Guangming Shao
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Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127840G (2023) https://doi.org/10.1117/12.2692985
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China
Abstract
In this paper, we conduct integrated clustering of different types of glass features, select appropriate chemical components, and identify different types of glass relics based on the AP clustering algorithm and the CART prediction model. The results show that sodium oxide, aluminum oxide, silicon dioxide, lead oxide, and lead barium glass have significant effects, while high potassium glass is significantly related to the three chemical components of potassium oxide, calcium oxide, and aluminum oxide. The AP-CART classification and prediction model proposed provides a solution for the component analysis and type identification of ancient glass products.
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Juanjuan Wang, Wenjian Wu, Yayun Wang, and Guangming Shao "Classification and prediction model of ancient glass based on AP-CART", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127840G (23 August 2023); https://doi.org/10.1117/12.2692985
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KEYWORDS
Glasses
Decision trees
Chemical analysis
Oxides
Chemical composition
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