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dc.contributor.authorWang, Chunlin
dc.contributor.authorCheng, Xu
dc.contributor.authorChen, Shengyong
dc.contributor.authorLi, Guoyuan
dc.contributor.authorZhang, Houxiang
dc.date.accessioned2019-02-11T08:58:14Z
dc.date.available2019-02-11T08:58:14Z
dc.date.created2018-11-09T09:27:19Z
dc.date.issued2018
dc.identifier.isbn978-1-5386-6076-8
dc.identifier.urihttp://hdl.handle.net/11250/2584699
dc.description.abstractThis paper presents a novel method that combines support vector machine (SVM) with sensitivity analysis (SA) to analyze sensor data for ship motion modeling. In order to investigate how each model input contributes to the model's output, the PAWN method which is based on cumulative distribution function (CDF) is used. Considering the limitation of the PAWN method that it cannot be applied to sensor data directly, a surrogate model using SVM is integrated into PAWN method as it has a better solution of non-linearity and high-dimension problem as well as excellent generalization capability. Implementation of whole systematic workflow is elaborated in detail and related experiments are made such as comparison of four distance metric methods, benchmark test and SA of vessel data. The results show the proposed method can be used for analyzing vessel data to seek prime parameters that affect ship motion.nb_NO
dc.language.isoengnb_NO
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)nb_NO
dc.relation.ispartofProceedings of 2018 IEEE Int. Conf. on Mechatronics and Automation
dc.titleA SVM-based Sensitivity Analysis Approach for Data-Driven Modeling of Ship Motionnb_NO
dc.title.alternativeA SVM-based Sensitivity Analysis Approach for Data-Driven Modeling of Ship Motionnb_NO
dc.typeChapternb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.pagenumber803-808nb_NO
dc.identifier.doi10.1109/ICMA.2018.8484531
dc.identifier.cristin1628584
dc.relation.projectNorges forskningsråd: 237929nb_NO
dc.description.localcode© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.nb_NO
cristin.unitcode194,64,93,0
cristin.unitnameInstitutt for havromsoperasjoner og byggteknikk
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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