Paper
24 May 2000 Photorefractive neural network performing a topological map
Author Affiliations +
Proceedings Volume 4089, Optics in Computing 2000; (2000) https://doi.org/10.1117/12.386886
Event: 2000 International Topical Meeting on Optics in Computing (OC2000), 2000, Quebec City, Canada
Abstract
In this paper we describe the realization and the operation of a high capacity optoelectronic neural network implementing a classification of vectors through a Kohonen topological map. The setup uses volume holographic interconnects inside a photorefractive crystal to implement the neurons. We show that the system work and is able to classify several tens of vectors.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yann Frauel, Gilles Pauliat, A. Villing, and Gerald Roosen "Photorefractive neural network performing a topological map", Proc. SPIE 4089, Optics in Computing 2000, (24 May 2000); https://doi.org/10.1117/12.386886
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Cited by 1 scholarly publication.
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KEYWORDS
Crystals

Neural networks

Neurons

Holograms

Holography

Laser crystals

Volume holography

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