Abstract

A continuous-time optical neural network capable of executing a broad class of energy-minimizing neural net algorithms has been built. The network is a ring resonator comprising a saturable, two-beam amplifier that acts as an optical neuron array, two volume holograms that provide global network interconnectivity, and a linear, two-beam amplifier that provides sufficient gain to permit network oscillation. The network has been used as an associative memory to store and recall multiple, nonorthogonal visual images.

© 1989 Optical Society of America

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