Competitive Optoelectronic Learning Networks

Kelvin H Wagner; Richard E Feinleib

doi:10.1117/12.944116

3 May 1988 Competitive Optoelectronic Learning Networks

Kelvin H Wagner, Richard E Feinleib

Proceedings Volume 0882, Neural Network Models for Optical Computing; (1988) https://doi.org/10.1117/12.944116
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States

Abstract

Electronic competiton for a fixed current resource can be used to mediate a winner-take-all operation on an array of optical beams, using a special-purpose optoelectronic integrated circuit containing modulators and detectors. Reflective competiton between an array of optical beams is proposed as the basis for an unsupervised, competitive optical learning architecture. It is suggested that self-aligning, adaptive interconnection holograms can be written in photorefractive crystals which are repeatedly exposed to the interference between phase-conjugated object waves and competitively produced reference beams. As statistically clustered patterns are input to the optical network, specific output nodes should learn to respond to the various classes of input without supervision.

Citation Download Citation

Kelvin H Wagner and Richard E Feinleib "Competitive Optoelectronic Learning Networks", Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); https://doi.org/10.1117/12.944116

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