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Autor:
Rigoberto Flores-Mendoza, Josué Uriel Rodríguez-Alcántara, Adrian Pozos-Estrada, Roberto Gómez
Publikováno v:
Geofísica Internacional. 61:153-179
Artificial neural network models are developed to predict strong ground motion duration of sub- duction events for soft and firm soils. To train the artificial neural network a database with a total of 3153 seismic records with two horizontal compone