Earthquake Early Warning System for Structural Drift Prediction Using Machine Learning and Linear Regressors

Earthquake Early Warning System for Structural Drift Prediction Using Machine Learning and Linear Regressors

In this work, we explored the feasibility of predicting the structural drift from the first seconds of P-wave signals for On-site Earthquake Early Warning (EEW) applications. To this purpose, we investigated the performance of both linear least square regression (LSR) and four non-linear machine lea...

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Bibliographic Details
Main Authors: Antonio Giovanni Iaccarino, Philippe Gueguen, Matteo Picozzi, Subash Ghimire
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Earth Science
Subjects:
earthquake early warning
onsite EEW
structural drift
machine learning regressors
building monitoring
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2021.666444/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2021.666444/full

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