Backpropagation Training of an Optical Neural Network

  • Authors:
  • James E. Steck;Steven R. Skinner;Alvaro A. Cruz-Cabrera;Mingtao Yang;Elizabeth C. Behrman

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
  • Year:
  • 1999

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Abstract

The experimental demonstration of optical backpropagation in a feed-forward optical neural network, developed by the authors, is presented. To our knowledge, this is the first report of backpropagation training in an optical system. The network uses a thermal nonlinear material as a neural processing layer and a photorefractive crystal as a phase conjugate mirror to backpropagate the optical error. The nonlinear material modulates the phase front of a forward propagating information beam by dynamically altering the index of the refraction profile of the material via a stronger weighting beam.