| dc.contributor.author | Santos, F.
|
pt_BR |
| dc.contributor.author | Neves, D. R.
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pt_BR |
| dc.contributor.author | Reis, M. T.
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pt_BR |
| dc.contributor.author | Fortes, C. J. E. M.
|
pt_BR |
| dc.contributor.author | Poseiro, P.
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pt_BR |
| dc.date.accessioned | 2014-05-26T16:23:30Z | pt_BR |
| dc.date.accessioned | 2014-10-20T13:39:02Z | pt_BR |
| dc.date.accessioned | 2017-04-13T08:43:25Z | |
| dc.date.available | 2014-05-26T16:23:30Z | pt_BR |
| dc.date.available | 2014-10-20T13:39:02Z | pt_BR |
| dc.date.available | 2017-04-13T08:43:25Z | |
| dc.date.issued | 2014-05 | pt_BR |
| dc.identifier.uri | https://repositorio.lnec.pt/jspui/handle/123456789/1006156 | |
| dc.description.abstract | Techniques based on Artificial Neural Networks (ANN) have been increasingly applied to predict natural hazards. In this work, a Fuzzy ARTMAP ANN was trained to predict the wave regime at the entrance and inside the Sines Port, on the Portuguese west coast. In situ measurements, buoy data and results from numerical modeling were used to train and validate the ANN. The wave regime was calculated for different points outside and inside the port. This methodology proved to be able to provide a fast and satisfactory response, especially useful in the scope of forecast and warning systems. | pt_BR |
| dc.language.iso | eng | pt_BR |
| dc.rights | openAccess | pt_BR |
| dc.subject | Artificial neural network | pt_BR |
| dc.subject | Fuzzy artmap | pt_BR |
| dc.subject | Wave regime | pt_BR |
| dc.subject | Sines port | pt_BR |
| dc.title | Definition of Sines port wave regime using an ARTMAP artificial neural network with fuzzy logic | pt_BR |
| dc.type | conferenceObject | pt_BR |
| dc.description.figures | 6 | pt_BR |
| dc.description.tables | 3 | pt_BR |
| dc.description.pages | 10p | pt_BR |
| dc.identifier.seminario | 3rd IAHR Europe Congress | pt_BR |
| dc.identifier.local | Porto | pt_BR |
| dc.description.sector | DHA/NPE | pt_BR |
| dc.description.year | 2014 | pt_BR |
| dc.description.data | 14 a 16 de abril | pt_BR |