Hybrid neural network optimization for feed point determination in antenna design

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dc.contributor.authorOzkaya U.
dc.contributor.authorSeyfi L.
dc.date.accessioned2020-03-26T20:11:47Z
dc.date.available2020-03-26T20:11:47Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description2018 International Conference on Information Technologies, IVUS 2018 -- 43217 -- 138110en_US
dc.description.abstractIn this paper, coaxially feed rectangular microstrip antenna is designed for WIFI communication in accordance with IEEE 802.11a standard between 5.15 GHz and 5.725 GHz. Feeding position of coaxial probe significantly affected antenna characteristics. Optimum feeding point should be selected in 2-D patch plane on the purpose of better antenna characteristics. The model is used to solve the optimization problem. It has three input variables which are antenna parameters as resonance frequency, bandwidth and return loss; on the otherhand, two output such as x and y coordinates of feeding position. Also, error function is updated by proposed artificial intelligence algorithms. Unlike conventional methods, contemporary artificial intelligent algorithms have been proposed for the antenna design. Genetic Algorithm (GA), Spider Monkey Optimization (SMO) and Grey Wolf Optimizer (GWO) are preferred for optimization. According to comparison of these results, optimal antenna for WIFI Protocol is designed. Copyright held by the author(s).en_US
dc.identifier.endpage35en_US
dc.identifier.issn1613-0073en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage28en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/37205
dc.identifier.volume2145en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherCEUR-WSen_US
dc.relation.ispartofCEUR Workshop Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial intelligence algorithmen_US
dc.subjectArtificial neural networken_US
dc.subjectMicrostrip antennaen_US
dc.subjectOptimizationen_US
dc.subjectWIFI communicationen_US
dc.titleHybrid neural network optimization for feed point determination in antenna designen_US
dc.typeConference Objecten_US

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