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Browsing Elektrik- Elektronik Mühendisliği by Subject "Neural networks (Computer science)"

Browsing Elektrik- Elektronik Mühendisliği by Subject "Neural networks (Computer science)"

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  • Classification using spiking neural networks 
    Sinanoğlu, Gökçen. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2012., 2012.)
    The functioning of the brain has attracted the interest of people since ancient times, how it processes the data has always became a subject of wonder and today, the mystery has still not been solved completely. The major ...
  • Development of new learning algorithms for spiking neural networks 
    Öniz, Yeşim. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    The main shortcomings with the gradient descent-based learning algorithms used for neural networks are that the convergence speed is relatively slow and the algorithm can be easily trapped into a local optimum. The studies ...
  • Effects of lossy compression on face recognition algorithms 
    Kamaşak, Mustafa. (Thesis (M.S.)- Bogazici University. Institute for Graduate Studies in Science and Engineering, 1999., 1999.)
    Face databases can consist of a few hundreds of face images to thousands, even millions. Because of storage and banwidth limitations, face databases are maintained under compressed domain. One of the related problems is ...
  • Multi-modal tensor representations of brain networks 
    Durusoy, Göktekin. (Thesis (Ph.D.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021., 2021.)
    Considering the economic, social and psychological burdens of Alzheimer’s disease (AD), the most common form of dementia, it is essential to gain insight into the process and underlying mechanisms of the disease. Using ...
  • Multilayer perceptron neural network in analog VLSI-A system level study 
    Öğrenci, Arif Selçuk. (Thesis (Ph.D.)- Bogazici University. Institute for Graduate Studies in Science and Engineering, 1999., 1999.)
    Analog neural networks exhibit a potential for proper/suitable hardware implementation of artificial neural networks. Their advantages such as small size, low power and high speed, however, are seriously questioned/confronted ...

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