An optical adaptive resonance neural network utilizing phase conjugation

Wunsch, Donald C.; Morris, Debra; Caudell, Thomas P.; Falk, Rachel

doi:10.1109/rnns.1992.268572

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1994

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“…The simplicity of this algorithm, which corresponds to the human visual perception mechanisms and the possibility of the implementation by optics and electronics are sufficient features of the ART. A number of articles are dedicated to optical and optoelectronic realizations of the ART (2,3], however, all of them have two limitations. The pattern is produced without background and shift-invariant condition is u.nsatisfacted.…”

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%

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

Павлов

1994

SPIE Proceedings

View full text Add to dashboard Cite

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An optical adaptive resonance neural network utilizing phase conjugation

Cited by 1 publication

References 10 publications

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

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

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