Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2002.07a
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- Pages.34-37
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- 2002
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
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