Use of Artificial Neural Networks to predict strong ground motion duration of Interplate and Inslab Mexican Earthquakes for Soft and Firm Soils

Artificial neural network models are developed to predict strong ground motion duration of subduction events for soft and firm soils. To train the artificial neural network a database with a total of 3153 seismic records with two horizontal components for interplate and inslab earthquakes is employe...

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Detalhes bibliográficos

Publicado no:	Geofísica Internacional
Principais autores:	R. Flores-Mendoza, J. U. Rodríguez-Alcántara, A. Pozos-Estrada, R. Gómez
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Universidad Nacional Autónoma de México 2022
Assuntos:	Ciencias de la Tierra
Acesso em linha:	https://www.redalyc.org/articulo.oa?id=56875428001 https://www.redalyc.org/journal/568/56875428001/ https://www.redalyc.org/journal/568/56875428001/html/ https://www.redalyc.org/journal/568/56875428001/56875428001.epub https://www.redalyc.org/journal/568/56875428001/movil https://doi.org/10.22201/igeof.00167169p.2022.61.3.2043
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