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Bibliographische Detailangaben
1. Verfasser: R. Flores-Mendoza
Format: Artículo científico
Sprache:en
Veröffentlicht: Universidad Nacional Autónoma de México 2022
Schlagworte:
Ciencias de la Tierra
subduction events
Artificial neural network
strong ground motion duration
empirical expressions and Mexico
Online-Zugang: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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Online

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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