Architectures For A Continuous Level Neural Network Based On Alternating Orthogonal Projections

Robert J Marks; Les E Atlas; Seho Oh; Kwan F Cheung

doi:10.1117/12.944105

3 May 1988 Architectures For A Continuous Level Neural Network Based On Alternating Orthogonal Projections

Robert J Marks, Les E Atlas, Seho Oh, Kwan F Cheung

Proceedings Volume 0882, Neural Network Models for Optical Computing; (1988) https://doi.org/10.1117/12.944105
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States

Abstract

Optical processor architectures for various forms of the alternating projection neural network (APNN) are considered. Required iteration is performed by passive optical feedback using only free space and guided propagation. No electronics or slow optics (e.g. phase conjugators) are used. The processor can be taught a new training vector by viewing it only once.

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Robert J Marks, Les E Atlas, Seho Oh, and Kwan F Cheung "Architectures For A Continuous Level Neural Network Based On Alternating Orthogonal Projections", Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); https://doi.org/10.1117/12.944105

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