Statistical and Non-linear Dynamics Methods of Earthquake Forecast: Application in the Caucasus-Reference-Cited by-同舟云学术

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Statistical and Non-linear Dynamics Methods of Earthquake Forecast: Application in the Caucasus

Published:2020-06-29 Issue: Volume:8 Page:
ISSN:2296-6463
Container-title:Frontiers in Earth Science
language:
Short-container-title:Front. Earth Sci.

Author:

Chelidze Tamaz,Melikadze Giorgi,Kiria Tengiz,Jimsheladze Tamar,Kobzev Gennady

Publisher

Frontiers Media SA

Subject

General Earth and Planetary Sciences

Reference62 articles.

1. Postcollisional tectonics and seismicity of Georgia.;Adamia;Geol. Soc. Am. Spec. Pap.,2017

2. The tradeoffs of large scale learning;Bottou;Optimization for Machine Learning,2012

3. Stick-slip as a mechanism for Earthquakes.;Brace;Science,1966

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1. A systematic review of Earthquake Early Warning (EEW) systems based on Artificial Intelligence;Earth Science Informatics;2024-02-24

2. Earthquake forecast by imbalance machine learning using geophysical predictors;Annals of Geophysics;2023-12-31

3. Deep Learning for Earthquake Disaster Assessment: Objects, Data, Models, Stages, Challenges, and Opportunities;Remote Sensing;2023-08-21

4. Forecasting Earthquake Magnitude and Epicenter by Incorporating Spatiotemporal Priors Into Deep Neural Networks;IEEE Transactions on Geoscience and Remote Sensing;2023

5. Earthquake Forecast as a Machine Learning Problem for Imbalanced Datasets: Example of Georgia, Caucasus;Frontiers in Earth Science;2022-03-01

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