Application of self-organized genetic algorithms to a novel color recognition system of all-optical neural networks

Wakao Sasaki; Hiroyuki Uchida; Keishi Takahashi

doi:10.1117/12.359517

20 August 1999 Application of self-organized genetic algorithms to a novel color recognition system of all-optical neural networks

Wakao Sasaki, Hiroyuki Uchida, Keishi Takahashi

Author Affiliations +

Proceedings Volume 3833, Intelligent Systems in Design and Manufacturing II; (1999) https://doi.org/10.1117/12.359517
Event: Photonics East '99, 1999, Boston, MA, United States

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.

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Wakao Sasaki, Hiroyuki Uchida, and Keishi Takahashi "Application of self-organized genetic algorithms to a novel color recognition system of all-optical neural networks", Proc. SPIE 3833, Intelligent Systems in Design and Manufacturing II, (20 August 1999); https://doi.org/10.1117/12.359517

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