New dynamic hysteresis model by means of soft computing approach

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dc.contributor.authorBoudjema, B.
dc.contributor.authorMordjaoui, M.
dc.contributor.authorBouaba, M.
dc.contributor.authorDaira, R.
dc.date.accessioned2024-07-12T20:50:17Z
dc.date.available2024-07-12T20:50:17Z
dc.date.issued2009en_US
dc.departmentFakülteler, İnsan ve Toplum Bilimleri Fakültesi, Matematik Bölümüen_US
dc.description.abstractThe study and calculation of magnetic field in electrical machines required dynamic hysteresis model. On the basis of fuzzy clustering and Neuro-fuzzy identification capability of any kind of nonlinear, continuous functions represented by its discrete set of measured data, a new modeling technique for dynamic magnetic hysteresis is presented and compared with measured data. Four technique are study and compared, the first one is based on neuro-fuzzy technique by using an adaptive neuro-fuzzy system identification and the others are based in Gustafson-Kessel, Gath- Geva and EM fuzzy clustering algorithm. Very accurate prediction of dynamic hysteresis loops is observed, proving that the clustering and Neuro-fuzzy techniques are suitable for hysteresis modeling.en_US
dc.identifier.citationBoudjema, B., Mordjaoui, M., Bouaba, M. ve Daira, R. (2009). Maltepe Üniversitesi. s. 117.en_US
dc.identifier.endpage118en_US
dc.identifier.isbn9.78605E+12
dc.identifier.startpage117en_US
dc.identifier.urihttps://www.maltepe.edu.tr/Content/Media/CkEditor/03012019014112056-AbstractBookICMS2009Istanbul.pdf#page=331
dc.identifier.urihttps://hdl.handle.net/20.500.12415/2295
dc.language.isoenen_US
dc.publisherMaltepe Üniversitesien_US
dc.relation.ispartofInternational Conference of Mathematical Sciencesen_US
dc.relation.publicationcategoryUluslararası Konferans Öğesi - Başka Kurum Yazarıen_US
dc.rightsCC0 1.0 Universal*
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.snmzKY07622
dc.titleNew dynamic hysteresis model by means of soft computing approachen_US
dc.typeConference Object
dspace.entity.typePublication

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