Açık Akademik Arşiv Sistemi

Browsing Fakülteler / Faculties by Title

Browsing Fakülteler / Faculties by Title

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  • 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 ...
  • Yumuşak, Nejat (SPRINGER-VERLAG BERLIN, 2005)
    Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetting phenomenon, which results in loss of ...
  • 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 ...
  • 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 ...
  • Öz, Cemil (SPRINGER-VERLAG BERLIN, 2005)
    Sign language, which is a highly visual-spatial, linguistically complete and natural language, is the main mode of communication among deaf people. In this paper, an American Sign Language (ASL) word recognition system is ...
  • 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 ...
  • Yumuşak, Nejat (SPRINGER-VERLAG BERLIN, 2005)
    Although Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems, they suffer from the catastrophic forgetting phenomenon. In our previous work, ...
  • 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 ...
  • Yumuşak, Nejat (SPRINGER-VERLAG BERLIN, 2005)
    Support Vector Machines (SVMs) have been applied to solve the classification of volatile organic compounds (VOC) data in some recent studies. SVMs provide good generalization performance in detection and classification of ...
  • Öz, Cemil (SPRINGER-VERLAG BERLIN, 2005)
    A computer vision system to recognize license plates of vehicles in real-time environments is presented in this study, The images of moving vehicles are taken with a digital camera and analyzed in real-time. An artificial ...
  • Öz, Cemil (SPRINGER-VERLAG BERLIN, 2005)
    In this paper, we present off-line signature recognition and verification system which is based on image processing, moment invariant method and ANN. Two separate sequential neural networks are designed; one for signature ...
  • Demirkol, Aşkın; Demir, Zafer; Emre, Erol (SPRINGER-VERLAG BERLIN, 2005)
    In this paper, a new Target Density Function(TDF) is theorized to image the radar targets by a new estimation algorithm. TDF is represented in a specified manner. This method is developed by inspiring of ambiguity functions. ...
  • Köklükaya, Etem (SPRINGER-VERLAG BERLIN, 2005)
    This paper proposes a new controller based on neural network and fuzzy logic technologies for load frequency control to allow for the incorporation of both heuristics and deep knowledge to exploit the best characteristics ...
  • Çakar, Tarık (SPRINGER-VERLAG BERLIN, 2006)
    We present a neuro-dommance rule for single machine total weighted tardiness problem with unequal release dates. To obtain the neuro-dominance rule (NDR), backpropagation artificial neural network (BPANN) has been trained ...
  • Çakar, Tarık (SPRINGER-VERLAG BERLIN, 2005)
    We present a neuro-dominance rule for single machine total weighted tardiness problem. To obtain the neuro-dominance rule (NDR), backpropagation artificial neural network (BPANN) has been trained using 5000 data and also ...
  • Demirkol, Aşkın; Demir, Zafer; Emre, Erol (SPRINGER-VERLAG BERLIN, 2006)
    In this work, four alternative algorithms for Classification/Discrimination are described which we have developed recently. These are believed to have several advantages over the previous ones via the introduction of a new ...
  • 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 ...
  • Korkusuz Polat, Tülay; Arslankaya, Seher (INT ASSOC ENGINEERS-IAENG, 2010)
    Nowadays, the one of sections which is studied about is Artificial Neural Network (ANN) Models. ANN researches are related to most field like optimization, control, image processing, meaning and separating language, natural ...
  • A. Cifci; Uyaroğlu, Yılmaz; A. T. Hocaoglu; Sı Ao; L Gelman; Dwl Hukins; A Hunter; Am Korsunsky (UNIT 1, 1-F, 37-39 HUNG TO ROAD, KWUN TONG, HONG KONG, 00000, PEOPLES R CHINA, 2011)
    A power system at a given operating state and subjected to a given disturbance is voltage stable if the voltages near loads approach post-disturbance equilibrium values. In this paper, by using the energy function that ...