A recurrent-neural-network-based generalized ground-motion model for the Chilean subduction seismic environment

Article

Abstract: This paper proposes a deep learning-based generalized ground motion model (GGMM) for interface and i

Palabras claves:

deep learning, Generalized ground motion model, long short-Term memory, Recurrent neural networks, Subduction ground motions

Autores:

Fayaz J., Galasso C., Medalla M., Pablo Torres-Rodas

Fuentes:

google

scopus