Application of Machine Learning to Abnormal Data Extraction from Seismic Observation
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 ana-lyzed,and the widely used machine learning methods were summarized.Finally,the seismic observation and abnormal seis-mic data extraction methods were summarized,and the development trend of earthquake prediction was prospected.
seismic observationstrain observationabnormal data extractionmachine learning
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