ANFIS MODELS FOR SYNTHESIS OF OPEN SUPPORTED COPLANAR WAVEGUIDES
dc.contributor.author | Kaya, Sabri | |
dc.contributor.author | Güney, Kerim | |
dc.contributor.author | Yildiz, Celal | |
dc.contributor.author | Turkmen, Mustafa | |
dc.date.accessioned | 2025-02-24T17:19:06Z | |
dc.date.available | 2025-02-24T17:19:06Z | |
dc.date.issued | 2013 | |
dc.department | Fakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | |
dc.description.abstract | Simple 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.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK) [107E258] | |
dc.description.sponsorship | The work described in this paper is supported by The Scientific and Technological Research Council of Turkey (TUBITAK), (Project No: 107E258). | |
dc.identifier.doi | 10.14311/NNW.2013.23.033 | |
dc.identifier.endpage | 569 | |
dc.identifier.issn | 1210-0552 | |
dc.identifier.issue | 6 | |
dc.identifier.scopus | 2-s2.0-84894558351 | |
dc.identifier.scopusquality | Q4 | |
dc.identifier.startpage | 553 | |
dc.identifier.uri | https://doi.org/10.14311/NNW.2013.23.033 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14440/981 | |
dc.identifier.volume | 23 | |
dc.identifier.wos | WOS:000329263800003 | |
dc.identifier.wosquality | Q4 | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | Acad Sciences Czech Republic, Inst Computer Science | |
dc.relation.ispartof | Neural Network World | |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.snmz | KA_WOS_20250201 | |
dc.subject | Supported coplanar waveguides | |
dc.subject | adaptive-network-based fuzzy inference system | |
dc.subject | synthesis | |
dc.subject | experiment | |
dc.title | ANFIS MODELS FOR SYNTHESIS OF OPEN SUPPORTED COPLANAR WAVEGUIDES | |
dc.type | Article |