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 language | English |
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| Title of host publication | Midwest Symposium on Circuits and Systems |
| Editors | Magdy A. Bayoumi, Ken W. Jenkins |
| Publisher | IEEE |
| Pages | 511-514 |
| Number of pages | 4 |
| Volume | 1 |
| Publication status | Published - 1994 |
| Externally published | Yes |
| Event | Proceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2) - Lafayette, LA, USA Duration: 1994 Aug 3 → 1994 Aug 5 |
Other
| Other | Proceedings of the 37th Midwest Symposium on Circuits and Systems. Part 2 (of 2) |
|---|---|
| City | Lafayette, LA, USA |
| Period | 94/8/3 → 94/8/5 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials