Programmable Optical Quadratic Neural Networks

Abstract

Analytical and experimental investigations of optical quadratic neural networks have been conducted. Results reported include: (1)Development of a polarization-based outer product processor implementing a quadratic neural network, (2) implementation of a photorefractive crystal based quadratic neural network utilizing feedback for learning, (3) derivation of a statistical parameter which can be used to completely characterize the behavior of linear and higher order Hopfield associative memories and (4) development of a method to reduce the number of interconnections in associative memories while retaining good performance.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1991
Accession Number
ADA233520

Entities

People

  • John F. Walkup
  • Thomas F. Krile

Organizations

  • Texas Tech University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Barium Titanates
  • Coding
  • Computers
  • Content Addressable Memory
  • Electrical Engineering
  • Engineering
  • Feedback
  • Information Processing
  • Learning
  • Modulators
  • Neural Networks
  • Optics
  • Pattern Recognition
  • Polarization
  • Signal Processing
  • Wave Mixing

Readers

  • Calculus or Mathematical Analysis
  • Neural Network Machine Learning.
  • Parallel and Distributed Computing.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks