Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1170
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dc.contributorDepartment of Electrical Engineering-
dc.creatorHo, SL-
dc.creatorYang, S-
dc.creatorNi, PH-
dc.creatorWong, KF-
dc.date.accessioned2014-12-11T08:27:16Z-
dc.date.available2014-12-11T08:27:16Z-
dc.identifier.issn0018-9464-
dc.identifier.urihttp://hdl.handle.net/10397/1170-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2007 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_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectHierarchical interpolationen_US
dc.subjectInterpolating moving least squares approximationen_US
dc.subjectResponse surface modelen_US
dc.titleAn adaptive interpolating MLS based response surface model applied to design optimizations of electromagnetic devicesen_US
dc.typeJournal/Magazine Articleen_US
dc.description.otherinformationAuthor name used in this publication: S. L. Hoen_US
dc.description.otherinformationAuthor name used in this publication: S. Y. Yangen_US
dc.identifier.spage1593-
dc.identifier.epage1596-
dc.identifier.volume43-
dc.identifier.issue4-
dc.identifier.doi10.1109/TMAG.2006.892107-
dcterms.abstractA response surface model (RSM) based on a combination of interpolating moving least squares and multistep method is proposed. The proposed RSM can automatically adjust the supports of its weight functions according to the distribution of the sampling points when it is used to reconstruct a computationally heavy design problem. Numerical examples are given to demonstrate the feasibility and efficiency of the proposed method for solving inverse problems.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on magnetics, Apr. 2007, v. 43 , no. 4, p. 1593-1596-
dcterms.isPartOfIEEE transactions on magnetics-
dcterms.issued2007-04-
dc.identifier.isiWOS:000245327200112-
dc.identifier.scopus2-s2.0-33947705204-
dc.identifier.eissn1941-0069-
dc.identifier.rosgroupidr34477-
dc.description.ros2006-2007 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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