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ARTMAP artificial neural networks with fuzzy logic. Their application to study the wave conditions at Sines port, Portugal

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dc.contributor.author Santos, F. pt_BR
dc.contributor.author Reis, M. T. pt_BR
dc.contributor.author Fortes, C. J. E. M. pt_BR
dc.contributor.author Lotufo, A. pt_BR
dc.contributor.author Maciel, G. pt_BR
dc.date.accessioned 2013-06-18T12:01:22Z pt_BR
dc.date.accessioned 2014-10-20T13:36:12Z pt_BR
dc.date.accessioned 2017-04-12T13:45:24Z
dc.date.available 2013-06-18T12:01:22Z pt_BR
dc.date.available 2014-10-20T13:36:12Z pt_BR
dc.date.available 2017-04-12T13:45:24Z
dc.date.issued 2013-06 pt_BR
dc.identifier.uri https://repositorio.lnec.pt/jspui/handle/123456789/1004897
dc.description.abstract The forecast of sea waves has been analyzed, in the literature, using various methodologies. Currently, there are a number of techniques that have shown satisfactory results, which are based on empirical formulations, numerical and physical modeling. However, there is still a large gap for research in the use of numerical modeling, especially when the models employed become very complex or with a large amount of variables. Thus, the scope of this work is to present a neural network system of the ART (Adaptive Resonance Theory) type with Fuzzy Logic techniques to determine wave conditions at the Portuguese coast (Sines Port). pt_BR
dc.language.iso eng pt_BR
dc.rights openAccess pt_BR
dc.title ARTMAP artificial neural networks with fuzzy logic. Their application to study the wave conditions at Sines port, Portugal pt_BR
dc.type conferenceObject pt_BR
dc.description.figures 9 pt_BR
dc.description.tables 2 pt_BR
dc.description.pages 7p pt_BR
dc.identifier.seminario 6th SCACR – International Short Course/Conference on Applied Coastal Research pt_BR
dc.identifier.local LNEC, Lisboa pt_BR
dc.description.sector DHA/NPE pt_BR
dc.description.year 2013 pt_BR
dc.description.data 4 a 7 de Junho pt_BR


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