Soft computing-based synthesis model for equilateral triangular ring printed antenna

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dc.authorid0000-0002-9756-8756en_US
dc.contributor.authorKayabaşı, Ahmet
dc.date.accessioned2019-12-06T21:15:42Z
dc.date.available2019-12-06T21:15:42Z
dc.date.issued2018
dc.departmentKMÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.descriptionWOS:000447682700037en_US
dc.description.abstractA soft computing-based synthesis model is proposed for the design of equilateral triangular ring printed antennas (ETRPAs) that operate at ultrahigh band applications. The synthesis of printed antennas having irregular shapes needs great efforts and time. Soft computing models eliminates complex, lengthy and time consuming mathematical procedures for synthesis and analysis of the printed antennas. In this paper, a soft computing model based on artificial neural network (ANN) is constructed for synthesis of ETRPAs. To generate training and testing data set, number of 100 ETRPAs with various geometrical and electrical parameters are simulated in terms of resonant frequency with the aid of a 3D full wave simulator. Soft computing model based ANN is designed to obtain the patch physical dimensions of ETRPAs simultaneously. The soft computing model is trained with simulated data set of 75 ETRPAs and tested with remainders 25 ETRPAs. A prototype of ETRPA is then fabricated to verify the proposed model. The testing results of the soft computing model are found in close agreement with simulated and experimental data. The presented model is simply/fast predicting the patch dimensions of ETRPAs and it is extremely useful to antenna engineers for the design of the ETRPAs.en_US
dc.identifier.citationKayabaşı, A. (2018). Soft computing-based synthesis model for equilateral triangular ring printed antenna. Aeu - International Journal of Electronics and Communications, 94, 332-338.
dc.identifier.doi10.1016/j.aeue.2018.07.030
dc.identifier.endpage338en_US
dc.identifier.issn1434-8411
dc.identifier.issn1618-0399
dc.identifier.scopus2-s2.0-85050553878
dc.identifier.scopusqualityQ1
dc.identifier.startpage332en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.aeue.2018.07.030
dc.identifier.urihttps://hdl.handle.net/11492/2695
dc.identifier.volume94en_US
dc.identifier.wosWOS:000447682700037
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Sceince
dc.indekslendigikaynakScopus
dc.institutionauthorKayabaşı, Ahmet
dc.language.isoen
dc.publisherElsevier GMBHen_US
dc.relation.journalAeu - International Journal of Electronics and Communicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectPrinted Antennaen_US
dc.subjectTriangular Ring Printed Antennaen_US
dc.subjectSynthesisen_US
dc.subjectSoft Computingen_US
dc.subjectArtificial Neural Networken_US
dc.titleSoft computing-based synthesis model for equilateral triangular ring printed antennaen_US
dc.typeArticle

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