Adaptive optical neural network for pattern classification on complex backgrounds

Alexander V. Pavlov

doi:10.1117/12.166067

21 January 1994 Adaptive optical neural network for pattern classification on complex backgrounds

Alexander V. Pavlov

Proceedings Volume 2051, International Conference on Optical Information Processing; (1994) https://doi.org/10.1117/12.166067
Event: Optical Information Processing: International Conference, 1993, St. Petersburg, Russian Federation

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.

Citation Download Citation

Alexander V. Pavlov "Adaptive optical neural network for pattern classification on complex backgrounds", Proc. SPIE 2051, International Conference on Optical Information Processing, (21 January 1994); https://doi.org/10.1117/12.166067

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