Academic Journal of Computing & Information Science, 2023, 6(11); doi: 10.25236/AJCIS.2023.061103.
Guowei Wang1, Cui Fan1, Dufei Li1, Wen Wang2
1School of Education, Nanchang Institute of Science and Technology, Nanchang, China
2School of Information and Artificial Intelligence, Nanchang Institute of Science and Technology, Nanchang, China
In order to distinguish the ancient and foreign glass products in China, repair the weathered glass products and better protect the ancient glass products, the impact of surface weathering on the two kinds of glass and the main components of the two kinds of glass are explored. The principal component analysis method is used to analyze 14 indicators of 18 samples of high potassium glass and 49 samples of lead barium glass respectively, and the model between different glass types and chemical composition is established. The correctness of the model is verified by linear regression test with SPSPRO software. The results show that the five main components of high potassium glass are silicon dioxide, sodium oxide, potassium oxide, calcium oxide and magnesium oxide. The six main components of lead barium glass are silicon dioxide, sodium oxide, potassium oxide, calcium oxide, magnesium oxide and aluminum oxide. Through sensitivity analysis and error analysis, the mathematical model proposed in this paper is reasonable and effective, and it has certain theoretical guiding significance for the identification and research of the composition of ancient glass products.
Principal component analysis, Glass products, Control variable method, SPSSPRO
Guowei Wang, Cui Fan, Dufei Li, Wen Wang. Research on the establishment and application of the model for the identification of ancient glass products based on principal component analysis. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 11: 17-25. https://doi.org/10.25236/AJCIS.2023.061103.
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