A comparative study on parameters of leaf-shaped patch antenna using hybrid artificial intelligence network models

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dc.contributor.authorOzkaya, Umut
dc.contributor.authorSeyfi, Levent
dc.date.accessioned2020-03-26T19:52:40Z
dc.date.available2020-03-26T19:52:40Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThis study proposes a very compact coaxial-fed planar antenna for X band applications. The antenna design includes a tulip-shaped radiator on the FR4 dielectric substrate. The antenna parameters, such as return losses, bandwidth and operating frequency, have close relationships with patch geometry. In order to obtain desired antenna parameters for X band application, patch dimension is necessary to be optimized. In this article, four different hybrid artificial intelligence network models are suggested for optimization. These are particle swarm optimization, differential evolution, grey wolf optimizer and vortex search algorithm. Also, they are combined with artificial neural network for the purpose of estimating dimension of patch. Therefore, the comparison of different proposed algorithms is analyzed to obtain higher characteristics for antenna design. Their results are compared with each other in HFSS 13.0 software. The antenna with the most suitable return loss, bandwidth and operating frequency is selected to be used in antenna design.en_US
dc.identifier.doi10.1007/s00521-016-2620-1en_US
dc.identifier.endpage45en_US
dc.identifier.issn0941-0643en_US
dc.identifier.issn1433-3058en_US
dc.identifier.issue8en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage35en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s00521-016-2620-1
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36235
dc.identifier.volume29en_US
dc.identifier.wosWOS:000427799900003en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGER LONDON LTDen_US
dc.relation.ispartofNEURAL COMPUTING & APPLICATIONSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectTulip-shaped antennaen_US
dc.subjectArtificial intelligence algorithmen_US
dc.subjectArtificial neural networken_US
dc.subjectX banden_US
dc.subjectHFSSen_US
dc.titleA comparative study on parameters of leaf-shaped patch antenna using hybrid artificial intelligence network modelsen_US
dc.typeArticleen_US

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