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Neural Network Models Based on Optical Resonator Designs

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Abstract

This paper specifies a class of neural network models in a form suitable for performing computer simulation experiments and assessing possible optical implementations. These models are consistent with optical resonator designs that may include dynamic holograms and thresholded phase conjugate mirrors. The specification obtained here could be of near-term value in the development of new pattern recognition algorithms.

© 1989 Optical Society of America

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