Comparison and Analysis of Accuracy of Various Machine Learning Algorithms in Ancient Glass Classification

Author:

Zhang Bolun1

Affiliation:

1. Beijing University of Post and Telecommunication,Beijing,China,100876

Publisher

IEEE

Reference10 articles.

1. Machine learning-based non-mobile cultural relics risk assessment-Take Shanxi Province as an example [J];Yan;Journal of Natural Disaster,2023

2. Machine learning-based non-mobile cultural relics risk assessment-Take Shanxi Province as an example [J];Yan;Journal of Natural Disaster,2023

3. The application of machine learning in the field of cultural relics [J];Zheng;Comprehensive corrosion control,2023

4. Unlocking the Potential of CnAgZr Metallic Glasses: A Comprehensive Exploration with Combinatorial Synthesis, High-Throughput Characterization, and Machine Learning. [J];Krzysztof;Advanced science (Weinheim, Baden-Wurttemberg, Germany),2023

5. Concurrent prediction of metallic glasses’ global energy and internal structural heterogeneity by interpretable machine learning[J];Chaoyi;Acta Materialia,2023

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