Basit ve geri yayılımlı yapay sinir ağları, uygulama alanları
| dc.contributor.advisor | Memmedli, Memmedağa | |
| dc.contributor.author | Aydin, Bahadir | |
| dc.date.accessioned | 2021-05-07T09:04:06Z | |
| dc.date.available | 2021-05-07T09:04:06Z | |
| dc.date.submitted | 2002 | |
| dc.date.issued | 2018-08-06 | |
| dc.identifier.uri | https://acikbilim.yok.gov.tr/handle/20.500.12812/604822 | |
| dc.description.abstract | oz Tezde yapay sinir ağlarının önemi, yapısı ve farklı mimarileri, geliştirilmiş öğrenme algoritmaları ve onların yardımı ile çözülebilen bazı uygulama problemleri incelenmektedir. Anahtar Kelimeler: ADALİNE, Algoritma, Bilgi İşleme, Birim, Çıkış, Delta Kuralı, Esas Mimari, Geriye Yayınım, Giriş, Hata, İleri Besleme, Katman, MADALINE, Nöron, Öğrenme Kuralı, Perseptron, Saklı Katman, Veri Akış Yönü, Yapay Sinir Ağları. | |
| dc.description.abstract | ABSTRACT In this thesis studying, the importance of artificial neural networks and different architectures of those, to be improved learning algorithms of those, and some application problems that can be solved by helping of artificial neural networks have been examining. Anahtar Kelimeler: ADALİNE, Algorithm, Artificial Neural Networks, Backpropagation, Basis Architecture, Data Flow Direction, Delta Rule, Error, Feedforward, Hidden Layer, Input, Knowledge Processing, Layer, Learning Rule, MADALINE, Neuron, Output, Perceptron, Unit. II | en_US |
| dc.language | Turkish | |
| dc.language.iso | tr | |
| dc.rights | info:eu-repo/semantics/embargoedAccess | |
| dc.rights | Attribution 4.0 United States | tr_TR |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Bilgisayar Mühendisliği Bilimleri-Bilgisayar ve Kontrol | tr_TR |
| dc.subject | Computer Engineering and Computer Science and Control | en_US |
| dc.title | Basit ve geri yayılımlı yapay sinir ağları, uygulama alanları | |
| dc.title.alternative | Simple artificial neural networks with back propagation, application areas | |
| dc.type | masterThesis | |
| dc.date.updated | 2018-08-06 | |
| dc.contributor.department | Diğer | |
| dc.subject.ytm | Back propagation networks | |
| dc.subject.ytm | Artificial neural networks | |
| dc.identifier.yokid | 129072 | |
| dc.publisher.institute | Fen Bilimleri Enstitüsü | |
| dc.publisher.university | ÇANAKKALE ONSEKİZ MART ÜNİVERSİTESİ | |
| dc.identifier.thesisid | 121528 | |
| dc.description.pages | 190 | |
| dc.publisher.discipline | Diğer |
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