Component Analysis and Identification of Glass Relics based on the Random Forest Model

Authors

  • Yingkun Zhang
  • Yuliang Chen
  • Zinuo Zhang
  • Changyu Liu
  • Zhipeng Yu

DOI:

https://doi.org/10.54097/hset.v15i.2871

Keywords:

Random Forest Classification Model; Glass of Cultural Relics; Composition Analysis.

Abstract

In the process of weathering, a large amount of internal elements and environmental elements were exchanged, resulting in changes in the composition proportion of ancient glass, which would affect the determination of its category. In this paper, the composition analysis and category identification of ancient glass were carried out by statistical analysis of the attached data and random forest classification model.

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References

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Published

26-11-2022

How to Cite

Zhang, Y., Chen, Y., Zhang, Z., Liu, C., & Yu, Z. (2022). Component Analysis and Identification of Glass Relics based on the Random Forest Model. Highlights in Science, Engineering and Technology, 15, 273-290. https://doi.org/10.54097/hset.v15i.2871