Relating Megathrust Seismogenic Behavior and Subduction Parameters via Machine Learning at Global Scale

Abstract We investigate the relationship between the seismogenic behavior of global megathrusts and various subduction parameters. We performed a parametric approach by implementing three decision tree‐based Machine Learning (ML) algorithms to predict the b‐value of the frequency‐magnitude relations...

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Bibliographic Details

Published in:	Geophysical Research Letters
Main Authors:	Lucas Crisosto, Andrés Tassara
Format:	Article
Language:	English
Published:	Wiley 2024-10-01
Subjects:	siesmogenic behavior subduction parameters megathrust machine learning
Online Access:	https://doi.org/10.1029/2024GL110984