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Comparison of the effects dimensionalty methods in the training of neuro-fuzzy (ANFIS) classifications [Neuro-fuzzy(ANFIS) siniflayicilarinin e?itiminde farkli boyut indirgeme yöntemlerinin model performansi üzerindeki etkileri] 

Yüksek A.G.; Arslan H.; Kaynar O. (Institute of Electrical and Electronics Engineers Inc., 2017)
Adaptive Network Based Fuzzy Inference Systems (ANFIS) is a hybrid artificial intelligence method that uses artificial neural network models with parallel computing and learning features and fuzzy logic extraction. The ...

Deep learning based recommender systems [Derin Ö?renme Tabanli Önerici Sistemler] 

Akay B.; Kaynar O.; Demirkoparan F. (Institute of Electrical and Electronics Engineers Inc., 2017)
In parallel with the rapid development of prospective systems in the last 20 years, many methods have been applied to this field. One of them is the deep learning networks that have attracted the interest of researchers ...

Intrusion detection with autoencoder based deep learning machine [Oto kodlayici tabanli derin Ö?renme makinalari ile saldiri tespiti] 

Kaynar O.; Yuksek A.G.; Gormez Y.; Isik Y.E. (Institute of Electrical and Electronics Engineers Inc., 2017)
In changing and constantly evolving information age, together with the developments in computer and internet technology, the production, digitization, storage and sharing of information has become much easier than in the ...



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AuthorKaynar O. (3)Akay B. (1)Arslan H. (1)Demirkoparan F. (1)Gormez Y. (1)... View MoreSubject
Deep learning (3)
ADAM (1)ANFIS (1)Autoencoder (1)Convulutional neural network (1)... View MorePublication Type
conferenceObject (3)
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tur (3)
Publication CategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı (3)Access Typeinfo:eu-repo/semantics/closedAccess (3)Date Issued2017 (3)Has File(s)false (3)

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