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Proceedings Paper

Photorefractive neural network performing a topological map
Author(s): Yann Frauel; Gilles Pauliat; A. Villing; Gerald Roosen
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Paper 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.

Paper Details

Date Published: 24 May 2000
PDF: 8 pages
Proc. SPIE 4089, Optics in Computing 2000, (24 May 2000); doi: 10.1117/12.386886
Show Author Affiliations
Yann Frauel, Institut d'Optique Theorique et Appliquee (Mexico)
Gilles Pauliat, Institut d'Optique Theorique et Applique (France)
A. Villing, Institut d'Optique Theorique et Appliquee (France)
Gerald Roosen, Institut d'Optique Tehoique et Applique (France)


Published in SPIE Proceedings Vol. 4089:
Optics in Computing 2000
Roger A. Lessard; Tigran V. Galstian, Editor(s)

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