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Browsing Bilgisayar ve Bilişim Bilimleri Fakültesi by Author "Temurtaş, Feyzullah"

Browsing Bilgisayar ve Bilişim Bilimleri Fakültesi by Author "Temurtaş, Feyzullah"

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  • A comparative study on diabetes disease diagnosis using neural networks 
    Yumuşak, Nejat; Temurtaş, Feyzullah (PERGAMON-ELSEVIER SCIENCE LTD, 2009)
    Diabetes occurs when a body is unable to produce or respond properly to insulin which is needed to regulate glucose. Besides contributing to heart disease, diabetes also increases the risks of developing kidney disease, ...
  • A neural network implemented microcontroller system for quantitative classification of hazardous organic gases in the ambient air 
    Gülbağ, Ali; Temurtaş, Feyzullah (INDERSCIENCE ENTERPRISES LTD, 2009)
    In this study, a microcontroller-based gas mixture classification system is proposed to use real-time analyses of the trichloroethylene and acetone binary mixture. A Feed Forward Neural Network (FFNN) structure is performed ...
  • A study on industrial robotic manipulator model using model based predictive controls 
    Durmuş, Burhanettin; Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER, 2009)
    In this study, a single input single output (SISO) neural generalized predictive control (NGPC) was applied to a six joint robotic manipulator. The SISO generalized predictive control (GPC) was also used for comparison. ...
  • A study on quantitative classification of binary gas mixture using neural networks and adaptive neuro-fuzzy inference systems 
    Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2006)
    In this study, the feed forward neural networks (FFNNs) were applied and an adaptive neuro-fuzzy inference system (ANFIS) was proposed for quantitative identification of individual gas concentrations (trichloroethylene and ...
  • A study on radial basis function neural network size reduction for quantitative identification of individual gas concentrations in their gas mixtures 
    Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2007)
    In this study, the multilayer neural networks (MLNNs) with sigmoid hidden layers and radial basis function neural networks (RBFNNs) were compared for quantitative identification of individual gas concentrations in their ...
  • A study on transient and steady state sensor data for identification of individual gas concentrations in their gas mixtures 
    Gülbağ, Ali; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2007)
    In this study, a comparative study was performed for the quantitative identification of individual gas concentrations (trichloroethylene and acetone) in their gas mixtures using transient and steady state sensor responses. ...
  • Application of neural generalized predictive control to robotic manipulators with a cubic trajectory and random disturbances 
    Yumuşak, Nejat; Temurtaş, Feyzullah (ELSEVIER SCIENCE BV, 2006)
    In this study, a single-input single-output (SISO) neural generalized predictive control (NGPC) was applied to a three-joint robotic manipulator with a cubic trajectory and random disturbances. The SISO generalized predictive ...
  • Chest diseases diagnosis using artificial neural networks 
    Er, Orhan; Yumuşak, Nejat; Temurtaş, Feyzullah (Pergamon-Elsevier Science LTD, 2010)
    Chronic obstructive pulmonary, pneumonia, asthma, tuberculosis, lung cancer diseases are the most important chest diseases. These chest diseases are important health problems in the world. In this study, a comparative chest ...
  • Diagnosis of chest diseases using artificial immune system 
    Er, Orhan; Yumuşak, Nejat; Temurtaş, Feyzullah (PERGAMON-ELSEVIER SCIENCE LTD, 2012)
    Chest diseases are one of the greatest health problems for people living in the developing world. Millions of people are diagnosed every year with a chest disease in the world. Chronic obstructive pulmonary, pneumonia, ...
  • Harmonic detection using feed forward and recurrent neural networks for active filters 
    Yumuşak, Nejat; Temurtaş, Feyzullah (ELSEVIER SCIENCE SA, 2004)
    In this study, the methods to apply the feed forward and Elman's recurrent neural networks for harmonic detection process in active filter are described. Generally, Fourier transformation is used to analyze a distorted ...
  • Lecture Notes in Artificial intelligence 
    Yumuşak, Nejat; Çerezci, Osman; Temurtaş, Feyzullah; Gunturkun, R; Temurtas, H (Springer-Verlag Berlin, 2004)
    In this study, the method to apply the Elman's recurrent neural networks using resilient back propagation for harmonic detection is described. The feed forward neural networks are also used for comparison. The distorted ...
  • LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 
    Gülbağ, Ali; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)
    The use of microcontroller in neural network realizations is cheaper. than those specific neural chips. In this study, an intelligent gas concentration estimation system is described. A neural network (NN) structure with ...
  • Lecture Notes in Artificial Intelligence 
    Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)
    In this study, the application of the single input single output (SISO) neural generalized predictive control (NGPC) of a three joint robotic manipulator with the comparison of the SISO generalized predictive control (GPC) ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2003)
    In this study, a fuzzy logic based algorithm is presented for the concentration estimation of the CCl4 and CHCl3 gases by using the steady state sensor response and an artificial neural network (ANN) structure is proposed ...
  • Lecture Notes in Computer Science 
    Yumuşak, Nejat; Öz, Cemil; Temurtaş, Feyzullah; Temurtas, H (Springer-Verlag Berlin, 2003)
    In this study, the application of the single input single output (SISO) neural generalized predictive control (NGPC) and SISO generalized predictive control (GPC) of a three joint robotic manipulator are presented. The ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    Temurtaş, Feyzullah; Yumuşak, Nejat (SPRINGER-VERLAG BERLIN, 2004)
    In this study, an artificial neural network (ANN) structure with tapped time:delays is used for the concentration estimation of Toluene gas inside the sensor response time by using the transient sensor response. The Quartz ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)
    In this study, the method to apply the Elman's recurrent neural networks for harmonic detection process in active filter is proposed. The feed forward neural networks were also used for comparison. We simulated the distorted ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    Gülbağ, Ali; Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)
    The use of microcontroller in neural network realizations is cheaper than those specific neural chips. However, realization of complicated mathematical operations such as sigmoid activation function is difficult via general ...
  • LECTURE NOTES IN COMPUTER SCIENCE 
    Yumuşak, Nejat; Temurtaş, Feyzullah (SPRINGER-VERLAG BERLIN, 2004)
    In this study, the Elman's recurrent neural networks using conjugate gradient algorithm is used for harmonic detection. The feed forward neural networks are also used for comparison. The conjugate gradient algorithm is ...
  • Quantitative discrimination of the binary gas mixtures using a combinational structure of the probabilistic and multilayer neural networks 
    Gülbağ, Ali; Temurtaş, Feyzullah; Yusubov, İsmihan (ELSEVIER SCIENCE SA, 2008)
    In this study, the quantitative discrimination of seven different types of binary volatile organic gas mixtures were realized by using a proposed structure which was combination of probabilistic neural networks (PNNs) and ...