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Doç. Dr. Hasan TEMURTAŞ
Doç. Dr. Hasan TEMURTAŞ
Verified email at dpu.edu.tr - Homepage
Title
Cited by
Cited by
Year
A comparative study on diabetes disease diagnosis using neural networks
H Temurtas, N Yumusak, F Temurtas
Expert Systems with applications 36 (4), 8610-8615, 2009
3552009
Charged system search algorithm for emission constrained economic power dispatch problem
S Özyön, H Temurtaş, B Durmuş, G Kuvat
Energy 46 (1), 420-430, 2012
842012
Lecture Notes in Computer Science 3606
SC Chen, KC Li, CT Yang, CY Lan, CH Hsu
Springer, 2005
70*2005
Harmonic detection using feed forward and recurrent neural networks for active filters
F Temurtas, R Gunturkun, N Yumusak, H Temurtas
Electric Power Systems Research 72 (1), 33-40, 2004
672004
An inverse kinematics solution using particle swarm optimization
B Durmuş, H Temurtaş, A Gün
International advanced technologies symposium 4, 193-197, 2011
322011
An application of neural networks for harmonic coefficients and relative phase shifts detection
H Temurtas, F Temurtas
Expert Systems with Applications 38 (4), 3446-3450, 2011
282011
Application of neural generalized predictive control to robotic manipulators with a cubic trajectory and random disturbances
F Temurtas, H Temurtas, N Yumusak
Robotics and Autonomous Systems 54 (1), 74-83, 2006
262006
Induction motor parameter estimation using metaheuristic methods
Aİ Çanakoğlu, AG YETGİN, H Temurtaş, M Turan
Turkish Journal of Electrical Engineering and Computer Sciences 22 (5), 1177 …, 2014
252014
Fuzzy logic and neural network applications on the gas sensor data: concentration estimation
F Temurtas, C Tasaltin, H Temurtas, N Yumusak, ZZ Ozturk
International Symposium on Computer and Information Sciences, 179-186, 2003
252003
Solution to environmental economic power dispatch problems in hydrothermal power systems by using genetic algorithm
S Özyön, C Yaşar, Y Aslan, H Temurtaş
2009 International Conference on Electrical and Electronics Engineering …, 2009
192009
A comparison of modified tree–seed algorithm for high-dimensional numerical functions
A Beşkirli, D Özdemir, H Temurtaş
Neural Computing and Applications 32 (11), 6877-6911, 2020
182020
Incremental gravitational search algorithm for high-dimensional benchmark functions
S Özyön, C Yaşar, H Temurtaş
Neural Computing and Applications 31 (8), 3779-3803, 2019
162019
Opposition-based gravitational search algorithm applied to economic power dispatch problems consisting of thermal units with emission constraints.
S Özyön, C Yaşar, B Durmuş, H Temurtaş
Turkish Journal of Electrical Engineering & Computer Sciences 23, 2015
162015
Particle swarm optimization algorithm for the solution of nonconvex economic dispatch problem with valve point effect
S Özyön, C Yaşar, H Temurtaş
2011 7th International Conference on Electrical and Electronics Engineering …, 2011
162011
A study on industrial robotic manipulator model using model based predictive controls
B Durmuş, H Temurtaş, N Yumuşak, F Temurtaş
Journal of intelligent manufacturing 20 (2), 233-241, 2009
152009
Differential evolution algorithm approach to nonconvex economic power dispatch problems with valve point effect
S Özyön, C Yaşar, H Temurtaş
6th International Advanced Technologies Symposium (IATS’11), 181-186, 2011
142011
Optimum transmission distance for relay-assisted free-space optical communication systems
A Basgumus, B Hicdurmaz, H Temurtas, M Namdar, A Altuncu, G Yilmaz
Optik 127 (16), 6490-6497, 2016
112016
An artificial bee colony algorithm (abc) aproach to nonconvex economic power dispatch problems with valve point effect
S Özyön, C Yaşar, G Özcan, H Temurtaş
National Conference on Electrical, Electronics and Computer (FEEB’11), 294-299, 2011
112011
The cost function minimization for predictive control by Newton-Raphson method
B Durmuş, H Temurtaş, N Yumuşak, F Temurtaş, R Kazan
Proceedings of the International MultiConference of Engineers and Computer …, 2008
112008
Effects of the trajectory planning on the model based predictive robotic manipulator control
F Temurtas, H Temurtas, N Yumusak, C Oz
International Symposium on Computer and Information Sciences, 545-552, 2003
112003
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