Architectures For A Continuous Level Neural Network Based On Alternating Orthogonal Projections
Robert J. Marks, Les Atlas, Seho Oh, Kwan F. Cheung · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1988
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.