&lt;title&gt;Pattern recognition by optical neural network based on the optical correlator&lt;/title&gt;

Павлов, А. В.; Shubnikov, E. I.

doi:10.1117/12.165415

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1994

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“…This optical architecture (Fi.2.) corresponds to the model of two-layered bidirectional NN (10] and it is used not only to compare the images, but to detect and to extract the new unknown patterns from input images, too.…”

Section: Introductionmentioning

confidence: 99%

<title>Adaptive optical neural network for pattern classification on complex backgrounds</title>

Павлов

1994

SPIE Proceedings

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Laboratory of optical. pa.tt.ern recognition and neur&. networkG, Re9€io.rch Centre "S. I. VtvUov state Opti.cal.InLitut€,St . P.Ler9burg, Rui.a. ABSTRACTThe 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 arid imae preparation, is discussed.

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Section: Introductionmentioning

confidence: 99%