Prediction of dynamic performance of NTUA semi-planing series using Artificial Neural Networks (ANN)

Papantoniou, Michail; Παπαντωνίου, Μιχαήλ

dc.contributor.author	Papantoniou, Michail	en
dc.contributor.author	Παπαντωνίου, Μιχαήλ	el
dc.date.accessioned	2023-05-05T09:37:44Z
dc.date.available	2023-05-05T09:37:44Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/57636
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.25333
dc.rights	Default License
dc.subject	Semi-Planing	en
dc.subject	Data modelling	en
dc.subject	ANN	en
dc.subject	Regular waves	en
dc.subject	Dynamic performance	en
dc.title	Prediction of dynamic performance of NTUA semi-planing series using Artificial Neural Networks (ANN)	en
heal.type	bachelorThesis
heal.classification	Naval Engineering	en
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2023-03-27
heal.abstract	The objective of this thesis is to develop a model capable of predicting the seakeeping performance of NTUA Semi-Planing Series in head seas and regular waves. The study highlights the potential of ANN as a data driven approach for predicting accurately the seakeeping performance of these hull forms	el
heal.advisorName	Grigoropoulos, Gregory	en
heal.committeeMemberName	Zaraphonitis, George	en
heal.committeeMemberName	Papadakis, George	en
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ναυπηγών Μηχανολόγων Μηχανικών	el
heal.academicPublisherID	ntua
heal.fullTextAvailability	false