Design of Low-Pass Ladder Networks With Mixed Lumped and Distributed Elements by Means of Artificial Neural Networks

dc.contributor.author Şengül, Metin Y.
dc.contributor.author Özmen, Atilla
dc.contributor.author Özmen, Atilla
dc.contributor.author Şengül, Metin
dc.contributor.author Yılmaz, Melek
dc.contributor.other Electrical-Electronics Engineering
dc.date.accessioned 2020-09-16T10:30:56Z en_US
dc.date.available 2020-09-16T10:30:56Z en_US
dc.date.issued 2003 en_US
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü en_US
dc.description.abstract In 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.citationcount 0
dc.identifier.endpage 959 en_US
dc.identifier.issn 1303-0914 en_US
dc.identifier.issn 1303-0914
dc.identifier.issue 2 en_US
dc.identifier.startpage 955 en_US
dc.identifier.trdizinid 61144 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/3391
dc.identifier.uri https://search.trdizin.gov.tr/yayin/detay/61144
dc.identifier.volume 3 en_US
dc.institutionauthor Şengül, Metin Y. en_US
dc.institutionauthor Özmen, Atilla en_US
dc.institutionauthor Yılmaz, Melek en_US
dc.language.iso en en_US
dc.publisher AVES YAYINCILIK en_US
dc.relation.journal Istanbul University Journal of Electrical and Electronics Engineering en_US
dc.relation.publicationcategory Makale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Lumped and distributed elements en_US
dc.subject Artificial neural networks en_US
dc.subject Back propagation en_US
dc.title Design of Low-Pass Ladder Networks With Mixed Lumped and Distributed Elements by Means of Artificial Neural Networks en_US
dc.type Article en_US
dspace.entity.type Publication
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