On the Application of Artificial Neural Networks for the Real Time Prediction of Parametric Roll Resonance

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UDC.coleccionInvestigaciónes_ES
UDC.departamentoEnxeñaría Naval e Industriales_ES
UDC.endPage349es_ES
UDC.grupoInvGrupo Integrado de Enxeñaría (GII)es_ES
UDC.startPage335es_ES
dc.contributor.authorMíguez González, Marcos
dc.contributor.authorDíaz Casás, Vicente
dc.contributor.authorLópez Peña, Fernando
dc.contributor.authorPérez Rojas, Luis
dc.date.accessioned2025-01-15T18:24:21Z
dc.date.embargoEndDate9999-12-31es_ES
dc.date.embargoLift9999-12-31
dc.date.issued2023-03-29
dc.descriptionManuscrito aceptadoes_ES
dc.description.abstract[Abstract]: In this paper, the practical implementation methodology of an artificial neural network (ANN) based parametric roll prediction system, is studied. In order to avoid expensive scale tests, an uncoupled nonlinear roll model is applied to tune the system. The capability of this model to accurately simulate the phenomenon of parametric roll resonance is validated using towing tank tests. Finally, the behavior of the ANN system for forecasting roll motion in a realistic sailing condition has been investigated, obtaining very promising results.es_ES
dc.description.sponsorshipThe present work was supported by the SpanishMinistry of Education under the FPU program, grant AP2006-03211, by MICIIN project TRA2009-13805 with EDF FEDER funding, and by Xunta de Galicia under project 08DPI011CT.es_ES
dc.description.sponsorshipXunta de Galicia; 08DPI011CTes_ES
dc.identifier.citationMíguez González, M., Díaz Casás, V., López Peña, F., Pérez Rojas, L. (2023). On the Application of Artificial Neural Networks for the Real Time Prediction of Parametric Roll Resonance. In: Spyrou, K.J., Belenky, V.L., Katayama, T., Bačkalov, I., Francescutto, A. (eds) Contemporary Ideas on Ship Stability. Fluid Mechanics and Its Applications, vol 134. Springer, Cham. https://doi.org/10.1007/978-3-031-16329-6_20es_ES
dc.identifier.doihttps://doi.org/10.1007/978-3-031-16329-6_20
dc.identifier.isbn978-3-031-16329-6
dc.identifier.urihttp://hdl.handle.net/2183/40731
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.relation.projectIDInfo:eu-repo/grantAgreement/ME/Plan Nacional de I+D+i 2008-2011/AP2006-03211/ESes_ES
dc.relation.projectIDInfo:eu-repo/grantAgreement/MICINN/Plan Nacional de I+D+i 2008-2011/TRA2009-13805/ES/ DETECCION Y PREVENCION INTELIGENTE DE LA RESONANCIA PARAMETRICA EN BUQUESes_ES
dc.relation.urihttps://doi.org/10.1007/978-3-031-16329-6_20es_ES
dc.rights.accessRightsembargoed accesses_ES
dc.subjectParametric rollinges_ES
dc.subjectNeural networkses_ES
dc.subjectTime series forecastinges_ES
dc.subjectShip stabilityes_ES
dc.titleOn the Application of Artificial Neural Networks for the Real Time Prediction of Parametric Roll Resonancees_ES
dc.typebook partes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationa0412249-57cf-44a6-9a14-f2bf22fda504
relation.isAuthorOfPublication032fb67a-b7ec-40a9-8f9b-74744bde0a14
relation.isAuthorOfPublication583f33cb-92d0-4e71-85d7-75f8af512846
relation.isAuthorOfPublication.latestForDiscoverya0412249-57cf-44a6-9a14-f2bf22fda504

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