Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1111
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dc.contributorDepartment of Electrical Engineering-
dc.contributorIndustrial Centre-
dc.creatorHo, SL-
dc.creatorFei, M-
dc.creatorCheng, KWE-
dc.creatorWong, HCC-
dc.date.accessioned2014-12-11T08:28:35Z-
dc.date.available2014-12-11T08:28:35Z-
dc.identifier.issn0018-9464-
dc.identifier.urihttp://hdl.handle.net/10397/1111-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2004 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.subjectDC motorsen_US
dc.subjectFinite element analysisen_US
dc.subjectRadial basis function networksen_US
dc.titleAn auto-tuning algorithm for the IRBF network of brushless DC motoren_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: M. R. Feien_US
dc.description.otherinformationAuthor name used in this publication: K. W. E. Chengen_US
dc.description.otherinformationAuthor name used in this publication: H. C. Wongen_US
dc.identifier.spage1168-
dc.identifier.epage1171-
dc.identifier.volume40-
dc.identifier.issue2-
dc.identifier.doi10.1109/TMAG.2004.824802-
dcterms.abstractThe integrated radial basis function (IRBF) network has been reported as an efficient algorithm to study the performance of brushless dc motors. However, such an algorithm cannot be implemented readily since it is difficult to auto-tune or even to find the undetermined coefficients in the integrated RBF network. In this paper, a novel auto-tuning algorithm that can effectively guarantee the automatic implementation of the integrated RBF network of a brushless dc motor is reported.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on magnetics, Mar. 2004, v. 40, no. 2, p. 1168-1171-
dcterms.isPartOfIEEE transactions on magnetics-
dcterms.issued2004-03-
dc.identifier.isiWOS:000220884000160-
dc.identifier.scopus2-s2.0-2342598480-
dc.identifier.eissn1941-0069-
dc.identifier.rosgroupidr20182-
dc.description.ros2003-2004 > 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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