Publication:
Prediction of induction parameters on toroidal wound cores using neural network

dc.contributor.buuauthorKüçük, İlker
dc.contributor.buuauthorDerebaşı, Naim
dc.contributor.departmentFen Edebiyat Fakültesi
dc.contributor.departmentFizik Bölümü
dc.contributor.orcid0000-0003-2546-0022
dc.contributor.researcheridAAI-2254-2021
dc.date.accessioned2024-03-01T06:17:44Z
dc.date.available2024-03-01T06:17:44Z
dc.date.issued2007-09
dc.descriptionBu çalışma, 26-29 Haziran 2006 tarihlerinde San Sebastian[İspanya] düzenlenen Joint European Magnetic Symposia (JEMS 06) Kongresi‘nde bildiri olarak sunulmuştur.
dc.description.abstractThis paper presents a new approach based on neural network to predict the induction parameters of the toroidal wound cores. The input parameters were the geometrical dimensions of the toroidal core, frequency and magnetic flux density. A total of 3176 input vector from previously measured 52 varied dimensions and built 27M4 material toroidal samples were available in the training set to a back-propagation feed forward neural network. The sigmoid and hyperbolic tangent transfer functions and full connectivity were used in the hidden layers. The correlation coefficients for the total harmonic distortion and form factor were found to be 0.99 and 0.98, respectively after the network was trained.
dc.description.sponsorshipNatl Advisory Comm
dc.identifier.citationKüçük, A. ve Okursoy, R. (2007). "Prediction of induction parameters on toroidal wound cores using neural network". Journal of Magnetism and Magnetic Materials, 316(2), E327-E329.
dc.identifier.endpageE329
dc.identifier.issnhttps://reader.elsevier.com/reader/sd/pii/S0304885307002508?token=B772D56F019974AA618AF7A9C13D3FE05F65389128E8D2FA59D1B865367A7A96CEE1860D60DC12C680EB359390856CC2&originRegion=eu-west-1&originCreation=20230426122705
dc.identifier.issue2
dc.identifier.startpageE327
dc.identifier.urihttps://doi.org/10.1016/j.jmmm.2007.02.135
dc.identifier.urihttps://hdl.handle.net/11452/40126
dc.identifier.volume316
dc.identifier.wos000248150000186
dc.indexed.wosSCIE
dc.indexed.wosCPCIS
dc.language.isoen
dc.publisherElsevier
dc.relation.journalJournal of Magnetism and Magnetic Materials
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectToroidal wound cores
dc.subjectArtificial neural network
dc.subjectInduction parameters
dc.subject.wosMaterials science, multidisciplinary
dc.subject.wosPhysics, condensed matter
dc.titlePrediction of induction parameters on toroidal wound cores using neural network
dc.typeArticle
dc.wos.quartileQ2
dspace.entity.typePublication
local.contributor.departmentFen Edebiyat Fakültesi/Fizik Bölümü
local.indexed.atWOS

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