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Carsten Peterson

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Optoelectronic implementation of multilayer neural networks in a single photorefractive crystal

Author

  • Carsten Peterson
  • Stephen Redfield
  • James D. Keeler
  • Eric Hartman

Summary, in English

We present a novel, versatile optoelectronic neural network architecture for implementing supervised learning algorithms in photorefractive materials. The system is based on spatial multiplexing rather than the more commonly used angular multiplexing of the interconnect gratings. This simple, single-crystal architecture implements a variety of multilayer supervised learning algorithms including mean field theory, back-propagation, and Marr-Albus-Kanerva style algorithms. Extensive simulations show how beam depletion, rescattering, absorption, and decay effects of the crystal are compensated for by suitably modified supervised learning algorithms.

Department/s

  • Computational Biology and Biological Physics - Has been reorganised

Publishing year

1990-04-01

Language

English

Pages

359-368

Publication/Series

Optical Engineering

Volume

29

Issue

4

Document type

Journal article

Publisher

SPIE

Topic

  • Computer Science

Status

Published

ISBN/ISSN/Other

  • ISSN: 0091-3286