Prediction of missing values of chemical elements in glass relics and subclassification based on neural network

Tingting Yan; Dongyang Xi; Xiaodan Wang; Long Ma

doi:10.1117/12.2678968

14 June 2023 Prediction of missing values of chemical elements in glass relics and subclassification based on neural network

Tingting Yan, Dongyang Xi, Xiaodan Wang, Long Ma

Author Affiliations +

Proceedings Volume 12725, International Conference on Pure, Applied, and Computational Mathematics (PACM 2023); 127250R (2023) https://doi.org/10.1117/12.2678968
Event: International Conference on Pure, Applied, and Computational Mathematics (PACM 2023), 2023, Suzhou, China

Abstract

In this study, the chemical composition data of ancient glass were sorted out and analyzed. Based on the training principle of BP neural network, BP neural network was established to solve the problem. After several iterations, 14 input layers, 5 neurons and the training method of radial basis function were finally determined. The data before weathering of weathered relics were finally obtained, so as to predict and restore the missing value of ancient glass chemical elements. In order to verify the rationality and sensitivity of the results, certain parameters were determined to process the data, and cluster analysis was performed again. By comparing the two results, we found that the difference between the two results was small, which verified the rationality and stability of the classification results. Then, through k-means algorithm, the types of glass were subclassified based on the different chemical composition content. For example, high-potassium glass was divided into high-potassium high-calcium glass and high-potassium low-calcium glass, and lead-barium glass was divided into lead-barium high-calcium glass and lead-barium low-calcium glass.

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Tingting Yan, Dongyang Xi, Xiaodan Wang, and Long Ma "Prediction of missing values of chemical elements in glass relics and subclassification based on neural network", Proc. SPIE 12725, International Conference on Pure, Applied, and Computational Mathematics (PACM 2023), 127250R (14 June 2023); https://doi.org/10.1117/12.2678968

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KEYWORDS

Glasses

Neural networks

Chemical elements

Lead

Calcium

Barium

Education and training

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