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dc.contributor.convenorIEEEen_AU
dc.contributor.authorH. Liu, Qingen_US
dc.contributor.authorLu, Junweien_US
dc.contributor.authorYang, Shiyouen_US
dc.contributor.editorJ. A. Tegopoulosen_US
dc.date.accessioned2017-04-04T15:53:35Z
dc.date.available2017-04-04T15:53:35Z
dc.date.issued2008en_US
dc.date.modified2009-06-16T06:40:55Z
dc.identifier.doi10.1109/TMAG.2009.2012690en_AU
dc.identifier.urihttp://hdl.handle.net/10072/24286
dc.description.abstractThe support vector machine (SVM) is proposed as a response surface model to accelerate the solution speed of metaheuristic algorithms in solving inverse problems. The detail formulations of the SVM regression model using epsiv-insensitive loss function are derived. Primary numerical results are reported to demonstrate the feasibility, performance, and robustness of the proposed SVM based response surface model for solving both mathematical functions and engineering design problems.en_US
dc.description.publicationstatusYesen_AU
dc.format.extent283078 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeUSAen_US
dc.publisher.urihttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=20en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameIEEE CEFC2008, International Conference on Electromagnetic Field Computationen_US
dc.relation.ispartofconferencetitleProceedings of IEEE CEFC2008, International Conference on Electromagnetic Field Computationen_US
dc.relation.ispartofdatefrom2008-05-11en_US
dc.relation.ispartofdateto2008-05-15en_US
dc.relation.ispartoflocationAthensen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchPower and Energy Systems Engineering (excl. Renewable Power)en_US
dc.subject.fieldofresearchcode090607en_US
dc.titleApplication of Support Vector Machines to Accelerate the Solution Speed of Metaheuristic Algorithmsen_US
dc.typeConference outputen_US
dc.type.descriptionE3 - Conference Publications (Extract Paper)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_AU
gro.date.issued2008
gro.hasfulltextFull Text


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    Contains papers delivered by Griffith authors at national and international conferences.

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