Cargando…
Multi-stage optimization of a deep model: A case study on ground motion modeling
In this study, a multi-stage optimization procedure is proposed to develop deep neural network models which results in a powerful deep learning pipeline called intelligent deep learning (iDeepLe). The proposed pipeline is then evaluated by a challenging real-world problem, the modeling of the spectr...
Autores principales: | Tahmassebi, Amirhessam, Gandomi, Amir H., Fong, Simon, Meyer-Baese, Anke, Foo, Simon Y. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6145533/ https://www.ncbi.nlm.nih.gov/pubmed/30231077 http://dx.doi.org/10.1371/journal.pone.0203829 |
Ejemplares similares
-
AI‐Enhanced Diagnosis of Challenging Lesions in Breast MRI: A Methodology and Application Primer
por: Meyer‐Base, Anke, et al.
Publicado: (2020) -
Ground Motion Model for the LHC
por: Verdier, A, et al.
Publicado: (2000) -
Ground-motion effects on the SSC
por: Ng, K Y, et al.
Publicado: (1989) -
Evolutionary modelling of the COVID-19 pandemic in fifteen most affected countries
por: Salgotra, Rohit, et al.
Publicado: (2020) -
Realistic modelling of ground motion: techniques for site response estimation
por: Romanelli, F, et al.
Publicado: (1998)