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Proceedings Paper

Adaptive optical neural network for pattern classification on complex backgrounds
Author(s): Alexander V. Pavlov
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Paper Abstract

The adaptive neural network model for pattern classification on the complex background is proposed. The method of the detection and extraction of the unknown changing patterns, based on the optical correlation, is proposed. The optical implementation of that NN model, formed by placing the optical correlator in a linear resonator to realize the vectors comparison and image preparation, is discussed.

Paper Details

Date Published: 21 January 1994
PDF: 6 pages
Proc. SPIE 2051, International Conference on Optical Information Processing, (21 January 1994); doi: 10.1117/12.166067
Show Author Affiliations
Alexander V. Pavlov, S. I. Vavilov State Optical Institute (Russia)

Published in SPIE Proceedings Vol. 2051:
International Conference on Optical Information Processing
Yuri V. Gulyaev; Dennis R. Pape, Editor(s)

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