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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| Опубликовано в:: | Geofísica Internacional |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Universidad Nacional Autónoma de México
2022
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| Предметы: | |
| Online-ссылка: | 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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