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Comparison of the ANN with SVRM Method on Determining the Magnetic Characteristics of the E-Core Transverse Flux Machine

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dc.contributor.authorTurker, C. Gundogan
dc.contributor.authorKuyumcu, F. Erfan
dc.contributor.authorTokan, N. Turker
dc.date.accessioned2026-06-27T13:21:52Z
dc.date.issued2013
dc.description.abstractThe E-core Transverse Flux Machine (ETFM) is combined of transverse flux and reluctance principle. An accurate ETFM model needs a good knowledge of the magnetic characteristics to know its electrical and mechanical behaviors. This paper proposed Support Vector Regression Machine (SVRM) and Artificial Neural Network (ANN) methods for determining of the magnetic characteristics of the ETFM. The data for the training and testing is obtained by experimental measurement methods. To reveal the accuracy of the nonlinear learning methods, the SVRM performance is compared with ANN's.en
dc.identifier.endpage283
dc.identifier.isbn978-1-4673-4567-5; 978-1-4673-4568-2
dc.identifier.startpage278
dc.identifier.urihttps://hdl.handle.net/20.500.14981/52222
dc.identifier.wos000322785200042
dc.language.isoeng
dc.publisherIEEE
dc.relation.conferenceIEEE International Conference on Industrial Technology (ICIT)
dc.relation.ispartof2013 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT)
dc.subjectE-Core Transverse Flux Machine
dc.subjectSupport Vector Machines
dc.subjectArtificial Neural Networks
dc.subjectEngineering
dc.titleComparison of the ANN with SVRM Method on Determining the Magnetic Characteristics of the E-Core Transverse Flux Machine
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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