Author(s)

Yang Chen ¹, Yating Yang ¹, Xinru Zhang ², Xuan Zhu ¹

Affiliation(s)

¹ School of Physics, Changchun University of Science and Technology, Changchun, 130022, China
² School of Mathematics and Statistics, Changchun University of Science and Technology, Changchun, 130022, China

Corresponding Author

ABSTRACT

Ancient glass is susceptible to the influence of the environment of the burial site and then produce weathering, weathering will lead to changes in the proportion of its color and chemical composition, this paper analyzes the data of high-potassium glass and lead-barium glass, research on the weathering law of the glass artifacts, and classify and identify the type of glass. In order to classify the types of glass, this paper determines the best ccp_alpha of CART algorithm is located at [0,0.39296057] by cost pruning method, reduces the impurity of the classified tree to 0, and finds that the main difference between the classification of high-potassium glass and lead-barium glass lies in the content of PbO. The chemical compositions of different glasses are subclassified by K-means, and the number of nests of subclassified high-potassium glass and lead-barium glass is determined to be 4 and3 respectively with the help of SSE coefficients and profile coefficients, and the detailed subclassification is realized by CART algorithm. On the basis of the above, the prediction accuracy of Al-A8 glass types was accomplished by the perceptual machine model with 100% accuracy, and the results showed that the model stability and accuracy were high.

KEYWORDS

CITE THIS PAPER

Yang Chen, Yating Yang, Xinru Zhang, Xuan Zhu, Research Methods for Classification and Identification of Ancient Glass Types. Advances in Computer, Signals and Systems (2023) Vol. 7: 89-97. DOI: http://dx.doi.org/10.23977/acss.2023.071113.

REFERENCES

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