Açık Akademik Arşiv Sistemi

Lecture Notes in Artificial intelligence

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dc.date.accessioned 2020-01-13T07:57:10Z
dc.date.available 2020-01-13T07:57:10Z
dc.date.issued 2004
dc.identifier.citation Temurtas, F; Yumusak, N; Gunturkun, R; Temurtas, H; Cerezci, O; (2004). LECTURE NOTES IN ARTIFICIAL INTELLIGENCE. PRICAI 2004: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 3157, 428-422
dc.identifier.isbn 3-540-22817-9
dc.identifier.issn 0302-9743
dc.identifier.uri https://hdl.handle.net/20.500.12619/2592
dc.description.abstract In this study, the method to apply the Elman's recurrent neural networks using resilient back propagation for harmonic detection is described. The feed forward neural networks are also used for comparison. The distorted wave including 5(th), 7(th), 11(th), 13(th) harmonics were simulated and used for training of the neural networks. The distorted wave including up to 25(th) harmonics were prepared for testing of the neural networks. Elman's recurrent and feed forward neural networks were used to recognize each harmonic. The results obtained using Elman's recurrent neural networks are better than the results values obtained using the feed forward neural networks for resilient back propagation.
dc.language English
dc.publisher Springer-Verlag Berlin
dc.subject Computer Science
dc.subject Bilgisayar Bilimi
dc.title Lecture Notes in Artificial intelligence
dc.type Proceedings Paper
dc.identifier.volume 3157
dc.identifier.startpage 422
dc.identifier.endpage 428
dc.contributor.department Sakarya Üniversitesi/Bilgisayar Ve Bilişim Bilimleri Fakültesi/Bilgisayar Mühendisliği Bölümü
dc.contributor.saüauthor Yumuşak, Nejat
dc.contributor.saüauthor Çerezci, Osman
dc.contributor.saüauthor Temurtaş, Feyzullah
dc.relation.journal Pricai 2004: Trends in Artificial intelligence, Proceedings
dc.identifier.wos WOS:000223633300045
dc.contributor.author Yumuşak, Nejat
dc.contributor.author Çerezci, Osman
dc.contributor.author Temurtaş, Feyzullah
dc.contributor.author Gunturkun, R
dc.contributor.author Temurtas, H


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