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Conference Paper

Failures, successes and challenges of machine-learning-based engineering ground-motion models

Authors
/persons/resource/fcotton

Cotton,  Fabrice
2.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/reza

Esfahani,  Reza
2.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/lilienka

Lilienkamp,  Henning
2.6 Seismic Hazard and Risk Dynamics, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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Citation

Cotton, F., Esfahani, R., Lilienkamp, H. (2024): Failures, successes and challenges of machine-learning-based engineering ground-motion models - Abstracts, EGU General Assembly 2024 (Vienna, Austria and Online 2024).
https://doi.org/10.5194/egusphere-egu24-12197


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5025588
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