| 李晨阳, 池成全.机器学习在地震观测异常数据提取中的应用[J].海南师范大学学报自科版,2024,37(3):348-356 |
| 机器学习在地震观测异常数据提取中的应用 |
| Application of Machine Learning to Abnormal Data Extraction from Seismic Observation |
| |
| DOI：10.12051/j.issn.1674-4942.2024.03.012 |
| 中文关键词: 地震观测 应变观测 异常数据提取 机器学习 |
| 英文关键词: seismic observation strain observation abnormal data extraction machine learning |
| 基金项目:海南省自然科学基金高层次人才项目（622RC669，322RC659） |
|
| 摘要点击次数: 86 |
| 全文下载次数: 140 |
| 中文摘要: |
| 本文参考了近年来国内外对于地震观测和地震异常数据提取的相关文献，对当前地震观测和地震异常数据提取领域涉及的方法和技术进行概述。首先按照应变观测、电离层观测、流体观测、电磁观测和其他观测方法对不同的地震观测方法和结论进行叙述；接下来对机器学习在地震异常数据提取的应用场景进行分析，对目前使用较多的机器学习方法进行分析和概述；最后，对地震观测和地震异常数据提取方法进行总结，对地震预测的发展趋势进行展望。 |
| 英文摘要: |
| In this paper, we refered to the relevant literature on seismic observation and abnormal seismic data extraction at home and abroad in recent years, and provided an overview of the current methods and technologies involved in the field of seismic observation and abnormal seismic data extraction. Firstly, different seismic observation methods and conclusions were described according to strain observation, ionospheric observation, fluid observation, electromagnetic observation and other observation methods. Next, the application scenario of machine learning in abnormal seismic data extraction were analyzed, and the widely used machine learning methods were summarized. Finally, the seismic observation and abnormal seismic data extraction methods were summarized, and the development trend of earthquake prediction was prospected. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
