Neural Networms for the Calculation of Bandwidth of Rectangular Microstrip Antennas

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dc.contributor.authorGültekin, Seyfettin Sinan
dc.contributor.authorGüney, Kerim
dc.contributor.authorSağıroğlu, Şeref
dc.date.accessioned2020-03-26T16:45:53Z
dc.date.available2020-03-26T16:45:53Z
dc.date.issued2003
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractNeural models for calculating the bandwidth of electrically thin and thick rectangular microstrip antennas, based on the multilayered perceptrons and the radial basis function networks, are presented. Thirteen learning algorithms, the conjugate gradient of Fletcher-Reeves, Levenberg-Marquardt, scaled conjugate gradient, resilient backpropagation, conjugate gradient of Powell-Beale, conjugate gradient of Polak-Ribiere, bayesian regularization, one-step secant, backpropagation with adaptive learning rate, Broyden-Fletcher-Goldfarb-Shanno, backpropagation with momentum, directed random search and genetic algorithm, are used to train the multilayered perceptrons. The radial basis function network is trained by the extended delta-bar-delta algorithm. The bandwidth results obtained by using neural models are in very good agreement with the experimental results available in the literature. When the performances of neural models are compared with each other, the best results for training and test were obtained from the multilayered perceptrons trained by the conjugate gradient of Powell-Beale and Broyden-Fletcher-Goldfarb-Shanno algorithms, respectively.en_US
dc.identifier.citationGültekin, S. S., Güney, K., Sağıroğlu, Ş., (2003). Neural Networms for the Calculation of Bandwidth of Rectangular Microstrip Antennas. Applied Computational Electromagnetics Society Journal, 18(2), 110-120.
dc.identifier.endpage120en_US
dc.identifier.issn1054-4887en_US
dc.identifier.issn1943-5711en_US
dc.identifier.issue2en_US
dc.identifier.startpage110en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/18511
dc.identifier.volume18en_US
dc.identifier.wosWOS:000189391700006en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorGültekin, Seyfettin Sinan
dc.language.isoenen_US
dc.publisherApplied Computational Electromagnetics Socen_US
dc.relation.ispartofApplied Computational Electromagnetics Society Journalen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleNeural Networms for the Calculation of Bandwidth of Rectangular Microstrip Antennasen_US
dc.typeArticleen_US

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