基于深度学习技术的青铜鼎分期断代研究

Periodization of Bronze Ding -Vessels Based on Deep Learning

分期断代是青铜器研究的重要基础,但铜器断代工作具有较高的专业门槛,一直依赖少数专家人工完成。人工智能的迅速发展,使青铜器智能断代成为可能。本文以青铜鼎为对象,提出利用人工智能深度学习技术对先秦时期青铜器进行断代的方法,并从数据处理、模型搭建、具体实验、结果分析等多个角度展开研究。实验结果表明,人工智能模型能够准确判断绝大多数青铜鼎的时代。同时,研究成果也已转换成实际应用,模型已经部署于微信小程序。

Dating and periodization are important foundations for the study of bronze vessels,but the work requires a high level of expertise and has always relied on a limited number of experts to complete it manually.With the rapid development of artificial intelligence,using it to date bronze vessels has become possible.In this article we focus on the Chinese bronze ding-vessel and propose a method of using deep learning to date bronze vessels from the pre-Qin period.The research includes various angles such as data processing,model building,practical experiments,and result analysis.The results of the experiments suggests that artificial intelligence can be used to successfully date the majority of bronze vessels.In addition,the research results can be converted into practical applications,and the model has been deployed in WeChat mini apps,hoping to provide convenience and assistance for the research of bronze vessels.