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      • Dept. of Computer Engineering - Master's degree
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      •   BUIR Home
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      • Bilkent Theses
      • Theses - Department of Computer Engineering
      • Dept. of Computer Engineering - Master's degree
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      Implementation of the backpropagation algorithm on iPSC/2 hypercube multicomputer system

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      Author
      Ercoşkun, Deniz
      Advisor
      Oflazer, Kemal
      Date
      1990
      Publisher
      Bilkent University
      Language
      English
      Type
      Thesis
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      Abstract
      Backpropagation is a supervised learning procedure for a class of artificial neural networks. It has recently been widely used in training such neural networks to perform relatively nontrivial tasks like text-to-speech conversion or autonomous land vehicle control. However, the slow rate of convergence of the basic backpropagation algorithm has limited its application to rather small networks since the computational requirements grow significantly as the network size grows. This thesis work presents a parallel implementation of the backpropagation learning algorithm on a hypercube multicomputer system. The main motivation for this implementation is the construction of a parallel training and simulation utility for such networks, so that larger neural network applications can be experimented with.
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      http://hdl.handle.net/11693/17264
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      • Dept. of Computer Engineering - Master's degree 511
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