Design of low-pass ladder networks with mixed lumped and distributed elements by means of artificial neural networks

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dc.contributor.authorÖzmen, Atilla
dc.contributor.authorÖzmen, Atilla
dc.contributor.authorYılmaz, Melek
dc.date.accessioned2020-09-16T10:30:56Zen_US
dc.date.available2020-09-16T10:30:56Zen_US
dc.date.issued2003en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractIn this paper, calculation of parameters of low-pass ladder networks with mixed lumped and distributed elements by means of artificial neural networks is given. The results of ANN are compared with the values that are desired. It has been observed that the calculated and the desired values are extremely close to each other. So this algorith can be used to obtain the parameters that will be used to synthesize such circuits.en_US
dc.identifier.citation0
dc.identifier.endpage959en_US
dc.identifier.issn1303-0914en_US
dc.identifier.issn1303-0914
dc.identifier.issue2en_US
dc.identifier.scopusqualityN/A
dc.identifier.startpage955en_US
dc.identifier.trdizinid61144en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12469/3391
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/61144
dc.identifier.volume3en_US
dc.identifier.wosqualityN/A
dc.institutionauthorŞengül, Metin Y.en_US
dc.institutionauthorÖzmen, Atillaen_US
dc.institutionauthorYılmaz, Meleken_US
dc.language.isoenen_US
dc.publisherAVES YAYINCILIKen_US
dc.relation.journalIstanbul University Journal of Electrical and Electronics Engineeringen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectLumped and distributed elementsen_US
dc.subjectArtificial neural networksen_US
dc.subjectBack propagationen_US
dc.titleDesign of low-pass ladder networks with mixed lumped and distributed elements by means of artificial neural networksen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublicationcf8f9e05-3f89-4ab6-af78-d0937210fb77
relation.isAuthorOfPublication.latestForDiscoverycf8f9e05-3f89-4ab6-af78-d0937210fb77

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