Research on the Analysis and Identification Model of Ancient Glass Composition Based on SVM Algorithm

Authors

  • Zhi Tan
  • Luyang Wang
  • Shuai Cao
  • Haipeng Xu
  • Jiacheng Xu

DOI:

https://doi.org/10.54097/hset.v41i.6844

Keywords:

SVM, glass composition, classification study.

Abstract

In this paper, for the problem of classification and identification of ancient glass objects, a prediction model based on mean processing of monitoring point data, a classification model of cultural relics, and a chemical composition analysis and identification model are established by means of chi-square test and spectral clustering, and the SVM algorithm is used to study the classification and identification methods of cultural relics.

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References

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Published

30-03-2023

How to Cite

Tan, Z., Wang, L., Cao, S., Xu, H., & Xu, J. (2023). Research on the Analysis and Identification Model of Ancient Glass Composition Based on SVM Algorithm. Highlights in Science, Engineering and Technology, 41, 318-322. https://doi.org/10.54097/hset.v41i.6844