Application of deep learning-based neural networks using theoretical seismograms as training data for locating earthquakes in the Hakone volcanic region, Japan

Abstract In the present study, we propose a new approach for determining earthquake hypocentral parameters. This approach integrates computed theoretical seismograms and deep machine learning. The theoretical seismograms are generated through a realistic three-dimensional Earth model, and are then u...

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Bibliographic Details

Published in:	Earth, Planets and Space
Main Authors:	Daisuke Sugiyama, Seiji Tsuboi, Yohei Yukutake
Format:	Article
Language:	English
Published:	SpringerOpen 2021-06-01
Subjects:	Deep learning Hypocenter determination Synthetic seismograms
Online Access:	https://doi.org/10.1186/s40623-021-01461-w