Share Email Print

Proceedings Paper

Application of self-organized genetic algorithms to a novel color recognition system of all-optical neural networks
Author(s): Wakao Sasaki; Hiroyuki Uchida; Keishi Takahashi
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

We have demonstrated a color recognition system composed of a novel, self-organized optical neural network system that includes genetic algorithms along with back propagation schemes, which make it possible that the system avoids the local minimum problems and make the learning processes faster and better. Our system is composed of a color liquid crystal display panel, bistable semiconductor lasers, photo- diodes, and liquid crystal light projector.

Paper Details

Date Published: 20 August 1999
PDF: 8 pages
Proc. SPIE 3833, Intelligent Systems in Design and Manufacturing II, (20 August 1999); doi: 10.1117/12.359517
Show Author Affiliations
Wakao Sasaki, Doshisha Univ. (Japan)
Hiroyuki Uchida, Doshisha Univ. (Japan)
Keishi Takahashi, Doshisha Univ. (Japan)

Published in SPIE Proceedings Vol. 3833:
Intelligent Systems in Design and Manufacturing II
Bhaskaran Gopalakrishnan; San Murugesan, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?