Earthquake Forecast as a Machine Learning Problem for Imbalanced Datasets: Example of Georgia, Caucasus

Earthquake Forecast as a Machine Learning Problem for Imbalanced Datasets: Example of Georgia, Caucasus

In this article, we considered the problem of M≥3 earthquake (EQ) forecasting (hindcasting) using a machine learning (ML) approach, using experimental (training) time series on monitoring water-level variations in deep wells as well as geomagnetic and tidal time series in Georgia (Caucasus). For suc...

Full description

Bibliographic Details
Main Authors: Tamaz Chelidze, Tengiz Kiria, George Melikadze, Tamar Jimsheladze, Gennady Kobzev
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Earth Science
Subjects:
water level in wells
earthquake forecast
magnetic variations
machine learning on imbalanced data
receiver operating characteristics
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2022.847808/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2022.847808/full

Similar Items