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Definition of Sines port wave regime using an ARTMAP artificial neural network with fuzzy logic

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dc.contributor.author Santos, F. pt_BR
dc.contributor.author Neves, D. R. pt_BR
dc.contributor.author Reis, M. T. pt_BR
dc.contributor.author Fortes, C. J. E. M. pt_BR
dc.contributor.author Poseiro, P. 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


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