Please use this identifier to cite or link to this item: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1006156
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dc.contributor.authorSantos, F.pt_BR
dc.contributor.authorNeves, D. R.pt_BR
dc.contributor.authorReis, M. T.pt_BR
dc.contributor.authorFortes, C. J. E. M.pt_BR
dc.contributor.authorPoseiro, P.pt_BR
dc.date.accessioned2014-05-26T16:23:30Zpt_BR
dc.date.accessioned2014-10-20T13:39:02Zpt_BR
dc.date.accessioned2017-04-13T08:43:25Z-
dc.date.available2014-05-26T16:23:30Zpt_BR
dc.date.available2014-10-20T13:39:02Zpt_BR
dc.date.available2017-04-13T08:43:25Z-
dc.date.issued2014-05pt_BR
dc.identifier.urihttp://repositorio.lnec.pt:8080/jspui/handle/123456789/1006156-
dc.description.abstractTechniques 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.isoengpt_BR
dc.rightsopenAccesspt_BR
dc.subjectArtificial neural networkpt_BR
dc.subjectFuzzy artmappt_BR
dc.subjectWave regimept_BR
dc.subjectSines portpt_BR
dc.titleDefinition of Sines port wave regime using an ARTMAP artificial neural network with fuzzy logicpt_BR
dc.typeconferenceObjectpt_BR
dc.description.figures6pt_BR
dc.description.tables3pt_BR
dc.description.pages10ppt_BR
dc.identifier.seminario3rd IAHR Europe Congresspt_BR
dc.identifier.localPortopt_BR
dc.description.sectorDHA/NPEpt_BR
dc.description.year2014pt_BR
dc.description.data14 a 16 de abrilpt_BR
Appears in Collections:DHA/NPE - Comunicações a congressos e artigos de revista

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