Machine Learning Predicts Laboratory Earthquakes-Reference-Cited by-同舟云学术

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Machine Learning Predicts Laboratory Earthquakes

Published:2017-09-22 Issue:18 Volume:44 Page:9276-9282
ISSN:0094-8276
Container-title:Geophysical Research Letters
language:en
Short-container-title:Geophys. Res. Lett.

Author:

Rouet-Leduc Bertrand¹²,Hulbert Claudia¹,Lubbers Nicholas¹³,Barros Kipton¹,Humphreys Colin J.²,Johnson Paul A.⁴^ORCID

Affiliation:

1. Theoretical Division and CNLS; Los Alamos National Laboratory; Los Alamos NM USA

2. Department of Materials Science and Metallurgy; University of Cambridge; Cambridge UK

3. Department of Physics; Boston University; Boston MA USA

4. Geophysics Group; Los Alamos National Laboratory; Los Alamos NM USA

Funder

Institutional Support (LDRD)

Center for Nonlinear Studies

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/2017GL074677/fullpdf

Reference43 articles.

1. Large earthquake occurrence estimation based on radial basis function neural networks;Alexandridis;IEEE Transactions on Geoscience and Remote Sensing,2014

2. Earthquake forecasting using neural networks: Results and future work;Alves;Nonlinear Dynamics,2006

3. The Parkfield, California, earthquake prediction experiment;Bakun;Science,1985

4. The long precursory phase of most large interplate earthquakes;Bouchon;Nature Geoscience,2013

5. Potential slab deformation and plunge prior to the Tohoku, Iquique and Maule earthquakes;Bouchon;Nature Geoscience,2016

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