English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Machine Learning can predict the timing and size of analog earthquakes

Authors

Corbi,  F.
External Organizations;

Sandri,  L.
External Organizations;

/persons/resource/jbed

Bedford,  Jonathan
4.1 Lithosphere Dynamics, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Funiciello,  F.
External Organizations;

Brizzi,  S.
External Organizations;

/persons/resource/rosen

Rosenau,  M.
4.1 Lithosphere Dynamics, 4.0 Geosystems, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Lallemand,  S.
External Organizations;

External Ressource
No external resources are shared
Fulltext (public)

3848893.pdf
(Publisher version), 2MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Corbi, F., Sandri, L., Bedford, J., Funiciello, F., Brizzi, S., Rosenau, M., Lallemand, S. (2019): Machine Learning can predict the timing and size of analog earthquakes. - Geophysical Research Letters, 46, 3, 1303-1311.
https://doi.org/10.1029/2018GL081251


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_3848893
Abstract
There is no abstract available