Boudjema, B.Mordjaoui, M.Bouaba, M.Daira, R.2024-07-122024-07-122009Boudjema, B., Mordjaoui, M., Bouaba, M. ve Daira, R. (2009). Maltepe Üniversitesi. s. 117.9.78605E+12https://www.maltepe.edu.tr/Content/Media/CkEditor/03012019014112056-AbstractBookICMS2009Istanbul.pdf#page=331https://hdl.handle.net/20.500.12415/2295The 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.enCC0 1.0 Universalinfo:eu-repo/semantics/openAccessConference Object118117