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

Nobuo Kanou, Yoshihiko Horio, Shogo Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationMidwest Symposium on Circuits and Systems
EditorsMagdy A. Bayoumi, Ken W. Jenkins
PublisherIEEE
Pages511-514
Number of pages4
Volume1
Publication statusPublished - 1994
Externally publishedYes
EventProceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2) - Lafayette, LA, USA
Duration: 1994 Aug 31994 Aug 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

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Fingerprint

Dive into the research topics of 'Current-mode chaotic neuron with PWL output function for traveling salesman problem'. Together they form a unique fingerprint.

Cite this