The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for traditional masonry
This paper discusses the adoption of Artificial Intelligence-based techniques to estimate seismic damage, not with the goal of replacing existing approaches, but as a mean to improve the precision of empirical methods. For such, damage data collected in the aftermath of the 1998 Azores earthquake (P...
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| Outros Autores: | , , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2020
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/14108 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/14108 |