Current-mode chaotic neuron with PWL output function for traveling salesman problem

Nobuo Kanou, Yoshihiko Horio, Shogo Nakamura

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper investigates the performance of current-mode chaotic neural networks that are optimized for traveling salesman problem (TSP). Piece-wise linear (PWL) functions used as the output functions in chaotic neurons are found to ease the design of neural network circuits. Three different PWL output functions are compared by solving 10-city TSP. Simulation results showed excellent performance of the chaotic neural networks with PWL output function. The design parameters to implement the PWL output function suitable for TSP chaotic neural networks are obtained.

本文言語English
ホスト出版物のタイトルMidwest Symposium on Circuits and Systems
編集者Magdy A. Bayoumi, Ken W. Jenkins
出版社IEEE
ページ511-514
ページ数4
1
出版ステータスPublished - 1994
外部発表はい
イベントProceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2) - Lafayette, LA, USA
継続期間: 1994 8 31994 8 5

Other

OtherProceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2)
CityLafayette, LA, USA
Period94/8/394/8/5

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 電子材料、光学材料、および磁性材料

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