Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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A New Stochastic Binary Neural Network Based on Hopfield Model and Its Application

  • Nakamura, Taichi (Department of Electrical and Computer Engineering, Kumamoto University) ;
  • Tsuneda, Akio (Department of Electrical and Computer Engineering, Kumamoto University) ;
  • Inoue, Takahiro (Department of Electrical and Computer Engineering, Kumamoto University)
  • Published : 2002.07.01
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Abstract

This paper presents a new stochastic binary neural network based on the Hopfield model. We apply the proposed network to TSP and compare it with other methods by computer simulations. Furthermore, we apply 2-opt to the proposed network to improve the performance.

Keywords