Artificial neural networks for resonant frequency calculation of rectangular microstrip antennas with thin and thick substrates

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dc.contributor.authorGuney, K
dc.contributor.authorGultekin, SS
dc.date.accessioned2020-03-26T16:47:51Z
dc.date.available2020-03-26T16:47:51Z
dc.date.issued2004
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractNeural models based on multilayered perceptrons for computing the resonant frequency of rectangular microstrip antennas with thin and thick substrates are presented. Eleven learning algorithms, Levenberg-Marquardt. conjugate gradient of Fletcher-Recvos., conjugate gradient of Powell-Beale, bayesian regularization.. scaled conjugate gradient, Broyden-Fletcher-Goldfarb-Shanno, resilient backpropagation, conjugate gradient of Polak-Ribiere. backpropagation with adaptive learning rate. one-step secant, and backpropagation with. momentum, are used to train the multilayered perceptrons. The resonant frequency 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 result is obtained from the multilayered perceptrons trained by Levenberg-Marquardt. algorithm.en_US
dc.identifier.doi10.1023/B:IJIM.0000045146.70836.eeen_US
dc.identifier.endpage1399en_US
dc.identifier.issn0195-9271en_US
dc.identifier.issue9en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1383en_US
dc.identifier.urihttps://dx.doi.org/10.1023/B:IJIM.0000045146.70836.ee
dc.identifier.urihttps://hdl.handle.net/20.500.12395/18947
dc.identifier.volume25en_US
dc.identifier.wosWOS:000224481100010en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherKLUWER ACADEMIC/PLENUM PUBLen_US
dc.relation.ispartofINTERNATIONAL JOURNAL OF INFRARED AND MILLIMETER WAVESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectneural networksen_US
dc.subjectmicrostrip antennaen_US
dc.subjectresonant frequencyen_US
dc.titleArtificial neural networks for resonant frequency calculation of rectangular microstrip antennas with thin and thick substratesen_US
dc.typeArticleen_US

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