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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...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6145533/ https://ncbi.nlm.nih.gov/pubmed/30231077 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0203829 |
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