2024-10-102024-10-102008-01-010587-4246https://hdl.handle.net/11452/46159Bu çalışma, 09-12 Temmuz 2007 tarihleri arasında Kosice[Slovakya]’da düzenlenen 13t. Czech and Slovak Conference on Magnetism (CSMAG'07)’da bildiri olarak sunulmuştur.This paper presents a new artificial neural network approach based on loss separation model to compute power loss on different types of electrical steels. The network was trained by a Levenberg-Marquardt algorithm. The results obtained by using the proposed model were compared with a commonly used conventional model. The comparison has shown that the neural network model is in good agreement with experimental data with respect to the conventional model.eninfo:eu-repo/semantics/closedAccessToroidal coresScience & technologyPhysical sciencesPhysics, multidisciplinaryPhysicsArticle0002533248000371471501131