Hybrid predictor for ground-motion intensity with machine learning and conventional ground motion prediction equation

The use of strongly biased data generally leads to large distortions in a trained machine learning model. We face this problem when constructing a predictor for earthquake-generated ground-motion intensity with machine learning. The machine learning predictor constructed in this study has an underes...

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Detalles Bibliográficos
Autores principales: Kubo, Hisahiko, Kunugi, Takashi, Suzuki, Wataru, Suzuki, Shingo, Aoi, Shin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385496/
https://www.ncbi.nlm.nih.gov/pubmed/32719374
http://dx.doi.org/10.1038/s41598-020-68630-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385496/
https://www.ncbi.nlm.nih.gov/pubmed/32719374
http://dx.doi.org/10.1038/s41598-020-68630-x

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