ANFIS MODELS FOR SYNTHESIS OF OPEN SUPPORTED COPLANAR WAVEGUIDES

dc.contributor.authorKaya, Sabri
dc.contributor.authorGüney, Kerim
dc.contributor.authorYildiz, Celal
dc.contributor.authorTurkmen, Mustafa
dc.date.accessioned2025-02-24T17:19:06Z
dc.date.available2025-02-24T17:19:06Z
dc.date.issued2013
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.description.abstractSimple and accurate models based on adaptive-network-based fuzzy inference system (ANFIS) to compute the physical dimensions of open supported coplanar waveguides are presented. The ANFIS is a class of adaptive networks which are functionally equivalent to fuzzy inference systems. Four optimization algorithms, hybrid learning, simulated annealing, least-squares, and genetic, are used to determine optimally the design parameters of the ANFIS. When the performances of ANFIS models are compared with each other, the best results are obtained from the ANFIS models trained by the hybrid learning algorithm. The results of ANFIS are compared with the results of the conformal mapping technique, the rigorous spectral-domain hybrid mode analysis, the improved spectral domain approach, the synthesis formulas, a full-wave electromagnetic simulator IE3D, and experimental works realized in this study.
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TUBITAK) [107E258]
dc.description.sponsorshipThe work described in this paper is supported by The Scientific and Technological Research Council of Turkey (TUBITAK), (Project No: 107E258).
dc.identifier.doi10.14311/NNW.2013.23.033
dc.identifier.endpage569
dc.identifier.issn1210-0552
dc.identifier.issue6
dc.identifier.scopus2-s2.0-84894558351
dc.identifier.scopusqualityQ4
dc.identifier.startpage553
dc.identifier.urihttps://doi.org/10.14311/NNW.2013.23.033
dc.identifier.urihttps://hdl.handle.net/20.500.14440/981
dc.identifier.volume23
dc.identifier.wosWOS:000329263800003
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherAcad Sciences Czech Republic, Inst Computer Science
dc.relation.ispartofNeural Network World
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250201
dc.subjectSupported coplanar waveguides
dc.subjectadaptive-network-based fuzzy inference system
dc.subjectsynthesis
dc.subjectexperiment
dc.titleANFIS MODELS FOR SYNTHESIS OF OPEN SUPPORTED COPLANAR WAVEGUIDES
dc.typeArticle

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