Real-Time Implementation of Nonlinear Optical Data Processing Functions

Abstract

In this final report for work performed in the period March 1988 to June 1990 we describe our efforts toward optical implementations of neural network models. The parallelism of optics will allow the hardware implementation of very large numbers of neurons with high throughputs. Under this effort we have begun development of SPONN (Stimulated Photorefractive Optical Neural Network), a hybrid optoelectronic system for programmable, adaptive, and fully parallel direct physical implementations of neural network models which is based on self-pumped photorefractive phase conjugate mirrors.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1990
Accession Number
ADA233521

Entities

People

  • Bernard Soffer
  • Yuri Owechko

Organizations

  • HRL Laboratories

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Argon Lasers
  • Artificial Intelligence
  • Computational Science
  • Computer Programming
  • Computers
  • Diffraction
  • Neural Networks
  • Optical Correlators
  • Optical Interconnects
  • Optical Phenomena
  • Optical Properties
  • Optics
  • Pattern Recognition
  • Refractive Index
  • Three Dimensional
  • Two Dimensional
  • Wave Mixing

Fields of Study

  • Physics

Readers

  • Neural Network Machine Learning.
  • Optical Physics and Photonics.
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Microelectronics