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dc.contributor.authorXu, Haitong
dc.contributor.authorHassani, Vahid
dc.contributor.authorGuedes-Soares, C.
dc.date.accessioned2020-02-21T12:38:19Z
dc.date.accessioned2020-02-24T14:21:51Z
dc.date.available2020-02-21T12:38:19Z
dc.date.available2020-02-24T14:21:51Z
dc.date.issued2020-01-28
dc.identifier.citationXu, Hassani, Guedes-Soares. Truncated least square support vector machine for parameter estimation of a nonlinear manoeuvring model based on PMM tests. Applied Ocean Research. 2020;97en
dc.identifier.issn0141-1187
dc.identifier.issn0141-1187
dc.identifier.issn1879-1549
dc.identifier.urihttps://hdl.handle.net/10642/8164
dc.description.abstractA new version of least square support vector machine (LS-SVM), the truncated LS-SVM, is proposed to estimate the nondimensionalized hydrodynamic coefficients. Truncated LS-SVM is shown to be an efficient and robust method that avoids the costly matrix inversion operation in classical LS-SVM using the singular values decomposition. Meanwhile, the smaller singular values are neglected considering their negligible contribution to the solutions. In order to get a robust parameter estimation, the model simplification of the nonlinear manoeuvring model is carried out using a leave-one-out method, considering the trade-off between the parameter uncertainty and accuracy of the numerical model. The simplified manoeuvring model and the values of nondimensionalized hydrodynamic coefficients are presented. The coefficients are estimated using Planar motion mechanism (PMM) tests, which were carried out in a towing tank. The validation process is carried to validate the generalization performance of the obtained numerical model using the PMM test data.en
dc.description.sponsorshipThis work was performed within the Strategic Research Plan of the Centre for Marine Technology and Ocean Engineering (CENTEC), which is financed by Portuguese Foundation for Science and Technology (Fundação para a Ciência e Tecnologia-FCT) under contract UID/Multi/00134/2013 - LISBOA-01-0145-FEDER-007629. This work is a contribution to the project M&MSHIPS -“Maneuvering & Moored SHIPS in ports” (PTDC/EMSTRA/5628/2014) funded by the FCT. This work was partly supported by the Research Council of Norway through the Centres of Excellence funding scheme, Project number 223254 - AMOS. The PMM data were collected in the course of the Knowledge-building Project for the Industry "Sea Trials and Model Tests for Validation of Shiphandling Simulation Models", supported by the Research Council of Norway.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.ispartofseriesApplied Ocean Research;Volume 97, April 2020
dc.rights© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectTruncated support vector machinesen
dc.subjectParameter estimationsen
dc.subjectModel reductionsen
dc.subjectNonlinear manoeuvring modelsen
dc.subjectPlanar motion mechanism testsen
dc.titleTruncated least square support vector machine for parameter estimation of a nonlinear manoeuvring model based on PMM testsen
dc.typeJournal articleen
dc.typePeer revieweden
dc.date.updated2020-02-21T12:38:19Z
dc.description.versionacceptedVersionen
dc.identifier.doihttps://dx.doi.org/10.1016/j.apor.2020.102076
dc.identifier.cristin1796420
dc.source.journalApplied Ocean Research


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© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Med mindre annet er angitt, så er denne innførselen lisensiert som © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/