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arXiv:2104.05712physics.geo-ph

Predicting the Accuracy of Early-est Earthquake Magnitude Estimates with an LSTM Neural Network: A Preliminary Analysis

Massimo Nazaria

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Abstract

This report presents a preliminary analysis of an LSTM neural network designed to predict the accuracy of magnitude estimates computed by Early-est during the first minutes after an earthquake occurs.

arXiv comments
Data and code are available at https://github.com/massimo-nazaria/lstm
Journal reference
DOI
Subjects
physics.geo-phGeophysics cs.LGMachine Learning

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