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Browsing Sistem ve Kontrol Mühendisliği by Subject "Neural networks (Computer science)"

Browsing Sistem ve Kontrol Mühendisliği by Subject "Neural networks (Computer science)"

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  • Application of a prototype parallel processing computer for a recurrent neural network model 
    Paksoy, Bekir Alper. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 1992., 1992.)
    In this study, Hopfield's binary neural network model is simulated using a software package simulating a bit serial single instruction multiple data (SIMD) mesh array processor, called the Blitzen massively parallel processor ...
  • Application of variable structure systems theory for training of intelligent systems 
    Yıldıran, Uğur. (Thesis (M.S.) - Bogazici University. Institue for Graduate Studies in Science and Engineering, 2001., 2001.)
    Soft computing architectures with their extensive flexibility and strong mapping capabilities have been widely used for control of nonlinear systems. In this regard, error backpropogation and its derivatives have been the ...
  • Forecasting stock market return using artificial neural networks 
    Doğan, Volkan. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2006., 2006.)
    Stock market’s return prediction is an important concept in emergent markets like Turkey and Brazil. In this thesis, I used artificial neural networks architecture to model and predict stock markets. Istanbul stock exchange ...
  • Identification and control of nonlinear dynamical systems using neural networks 
    Efe, Mehmet Önder. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 1996., 1996.)
    Artificial neural networks opened a new horizon in many research areas. This understanding, also, brought a new way of thinking into the concept of control. The ever-increasing technological demands steered the control ...

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