Bandwidth Modeling of U-slot Rectangular Microstrip Antennas with Artificial Neural Networks

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dc.contributor.authorUzer, M. S.
dc.contributor.authorUzer, D.
dc.contributor.authorYilmaz, N.
dc.contributor.authorGultekin, S. S.
dc.date.accessioned2020-03-26T18:24:05Z
dc.date.available2020-03-26T18:24:05Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.descriptionProgress in Electromagnetics Research Symposium -- MAR 27-30, 2012 -- Kuala Lumpur, MALAYSIAen_US
dc.description.abstractIn this study, rectangular U-slot microstrip antennas are modeled by an Artificial Neural Network structure and their bandwidth values are calculated with the model. The antenna parameters are taken from in the literature. The experimental results are compared with Artificial Neural Network results. In comparison of the experimental and Artificial Neural Network results, accuracy rates of training and testing were found to be 96.6% and 91.3%, respectively. It is obtained that Artificial Neural Network results are compatible with experimental bandwidth results from the literature. It is shown that possible bandwidth behavior of U-slot rectangular microstrip patch antennas with this Artificial Neural Network model is powerfully estimated.en_US
dc.description.sponsorshipTelekom Malaysia, Telekom Malaysia Res & Dev, Motorola Solut, Malaysia Convent & Exhibit Buren_US
dc.identifier.endpage563en_US
dc.identifier.isbn978-1-934142-20-2
dc.identifier.issn1559-9450en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage559en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27784
dc.identifier.wosWOS:000327380000114en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherELECTROMAGNETICS ACADen_US
dc.relation.ispartofPROCEEDINGS OF PROGRESS IN ELECTROMAGNETICS RESEARCH SYMPOSIUM (PIERS 2012)en_US
dc.relation.ispartofseriesProgress in Electromagnetics Research Symposium
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleBandwidth Modeling of U-slot Rectangular Microstrip Antennas with Artificial Neural Networksen_US
dc.typeConference Objecten_US

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