Ömer Kaan Baykan
Ömer Kaan Baykan
Konya Technical University
ktun.edu.tr üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange
Y Kara, MA Boyacioglu, ÖK Baykan
Expert systems with Applications 38 (5), 5311-5319, 2011
6472011
Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit …
MA Boyacioglu, Y Kara, ÖK Baykan
Expert Systems with Applications 36 (2), 3355-3366, 2009
2912009
A new hybrid method based on particle swarm optimization, ant colony optimization and 3-opt algorithms for traveling salesman problem
M Mahi, ÖK Baykan, H Kodaz
Applied Soft Computing 30, 484-490, 2015
2462015
A parallel cooperative hybrid method based on ant colony optimization and 3-Opt algorithm for solving traveling salesman problem
Ş Gülcü, M Mahi, ÖK Baykan, H Kodaz
Soft Computing 22 (5), 1669-1685, 2018
682018
A novel hybrid algorithm based on particle swarm and ant colony optimization for finding the global minimum
MS Kıran, M Gündüz, ÖK Baykan
Applied Mathematics and Computation 219 (4), 1515-1521, 2012
492012
Assessment of exercise stress testing with artificial neural network in determining coronary artery disease and predicting lesion localization
I Babaoglu, OK Baykan, N Aygul, K Ozdemir, M Bayrak
Expert Systems with Applications 36 (2), 2562-2566, 2009
352009
Predicting 10-day mortality in patients with strokes using neural networks and multivariate statistical methods
G Çelik, ÖK Baykan, Y Kara, H Tireli
Journal of Stroke and Cerebrovascular Diseases 23 (6), 1506-1512, 2014
242014
A new approach based on particle swarm optimization algorithm for solving data allocation problem
M Mahi, OK Baykan, H Kodaz
Applied Soft Computing 62, 571-578, 2018
162018
A novel modified bat algorithm hybridizing by differential evolution algorithm
G Yildizdan, ÖK Baykan
Expert Systems with Applications 141, 112949, 2020
112020
Bone age determination in young children (newborn to 6 years old) using support vector machines
GÜRE GÜRAKSIN, H UĞUZ, ÖK BAYKAN
Turkish Journal of Electrical Engineering & Computer Sciences 24 (3), 1693-1708, 2016
92016
A new algorithm based on artificial bee colony algorithm for energy demand forecasting in Turkey
H Uguz, H Hakli, ÖK Baykan
2015 4th International Conference on Advanced Computer Science Applications …, 2015
92015
Detection of tumor with Otsu-PSO method on brain MR image
MÜ Özıç, Y Özbay, ÖK Baykan
2014 22nd Signal Processing and Communications Applications Conference (SIU …, 2014
92014
Force feedback control of lower extremity exoskeleton assisting of load carrying human
Y Şahin, FM Botsalı, M Kalyoncu, M Tinkir, Ü Önen, N Yılmaz, ÖK Baykan, ...
Applied Mechanics and Materials 598, 546-550, 2014
92014
A comparison of artificial intelligence methods on determining coronary artery disease
İ Babaoğlu, ÖK Baykan, N Aygül, K Özdemir, M Bayrak
International Conference on Advances in Information Technology, 18-26, 2010
82010
Estimation of unknown height with artificial neural network on digital terrain model
H Karabork, F Yildz
第 21 届国际摄影测量与遥感大会 (ISPRS 2008), 2732-2734, 2008
82008
Training of artificial neural network using Metaheuristic algorithm
SSA Alwaisi, OK Baykan
International Journal of Intelligent Systems and Applications in Engineering …, 2017
72017
Classifiers fusion in recognition of wheat varieties
S Raudys, ÖK Baykan, A Babalik, V Denisov, AA Bielskis
International Workshop on Multiple Classifier Systems, 62-71, 2007
72007
Determination of wheat kernel type by using image processing techniques and ANN
A Babalık, ÖK Baykan, FM Botsalı
The International Conference on Modelling and Simulating, August, 28-30, 2006
72006
A new feature selection method for text categorization based on information gain and particle swarm optimization
F Yi̇ği̇t, ÖK Baykan
2014 IEEE 3rd International Conference on Cloud Computing and Intelligence …, 2014
62014
Shear strength predicting of FRP-strengthened RC beams by using artificial neural networks
G Yavuz, MH Arslan, OK Baykan
Science and Engineering of Composite Materials 21 (2), 239-255, 2014
62014
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20