Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Oguz Ustun"'
Autor:
Devrim Can Sarac, Deniz Bayraktar, Nurten Gizem Tore, Idil Kurut Aysin, Eda Otman, Israfil Inanc, Serife Demirbas, Berfin Coskun, Kubra Erol, Oguz Ustun, Emre Alp Akatay, Deran Oskay, Sercan Gucenmez, Mustafa Ozmen, Servet Akar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::366539ea1f1af3f4f36d1b16499836c3
https://avesis.gazi.edu.tr/publication/details/078eed34-1068-4c47-93c3-dafb74bcb19a/oai
https://avesis.gazi.edu.tr/publication/details/078eed34-1068-4c47-93c3-dafb74bcb19a/oai
Autor:
Emre Alp Akatay, Deniz Bayraktar, Eda Otman, Oguz Ustun, Idil Kurut Aysin, Devrim Can Sarac, Busranur Atalay, Irem Ramazanoglu, Ilyas Tekin, Tugba Kurum, Sercan Gucenmez, Mustafa Ozmen, Servet Akar
Publikováno v:
Zeitschrift für Rheumatologie.
Systemic sclerosis (SSc) is a connective tissue disorder characterized by collagen deposits in various organs. Skin involvement is one of the most common symptoms and along with vascular damage, may deteriorate hand functions. However, the status of
Autor:
Mithat Onder, Oguz Ustun
Publikováno v:
Electric Power Components and Systems. 48:667-681
—This article presents a novel torque ripple minimization approach based on the genetic algorithm (GA) for the switched reluctance motor (SRM) drives. The fitness function of the GA is desi...
Publikováno v:
Expert Systems. 37
Publikováno v:
2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT).
This paper presents a new method which is derived from the classical viscous plus Coulomb friction model to identify mechanical parameters (moment of inertia(J), viscous friction(B) and coulomb friction (C)) of switched reluctance motor (SRM) in real
Autor:
Oguz Ustun
Publikováno v:
Energy Conversion and Management. 50:2413-2421
This paper presents a novel nonlinear full model developed by using artificial neural networks (ANNs) for switched reluctance motors (SRMs). The proposed ANN based nonlinear model consists of two different models, namely forward and inverse model. Th
Publikováno v:
Expert Systems with Applications. 34:657-664
This paper introduces a neuro-fuzzy controller (NFC) for the speed control of a PMSM. A four layer neural network (NN) is used to adjust input and output parameters of membership functions in a fuzzy logic controller (FLC). The back propagation learn
Autor:
Oguz Ustun, Erdal Bekiroglu
In the present study, position estimation of switched reluctance motor (SRM) has been achieved on the basis of the artificial neural networks (ANNs). The ANNs can estimate the rotor position without using an extra rotor position sensor by measuring t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36b6873392556ca96d5693c3e6ff4372
Autor:
Çetin Elmas, Oguz Ustun
This paper introduces a hybrid controller (HC) which consists of a parallel connected sliding mode controller (SMC) and a neuro-fuzzy controller (NFC) for the speed control of a permanent magnet synchronous motor (PMSM) drive. The aim of this study i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d03948b02919fa7f46a4bac1bac64b7b
https://avesis.gazi.edu.tr/publication/details/b3a69c0b-1069-43a2-83d9-3c99b7452bb4/oai
https://avesis.gazi.edu.tr/publication/details/b3a69c0b-1069-43a2-83d9-3c99b7452bb4/oai
Autor:
Oğuz Üstün
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 15, Iss 3, Pp 395-403 (2009)
Bu çalışmada çok katmanlı ileri besleneli bir sinir ağının tüm katmanlarındaki üyelik fonksiyonları genetik algoritma kullanarak belirlenmiştir. Bir sinir ağının etkinliğini gösteren temel ölçüt aynı sayıda düğüm ve bağlant
Externí odkaz:
https://doaj.org/article/68db059375a34f599ea4a419a320704b