Theoretical Investigation of Optical Computing Based on Neural Network Models.

Abstract

It is difficult to find good mathematical models for many natural problems such as pattern recognition. Not only does this difficulty preclude finding good solutions for these problems, but it also precludes estimating their complexity using the standard tools of the theory oc computational complexity (Traub, 1985). Part of the difficulty can be traced to symptoms such as ill-definition, fuzziness, and inexactness. However, the difficulty of modeling these problems may be inherent in some cases. Keywords: Photorefractive crystals; Adaptive optical networks; Connectivity; Entropy; Holograms.

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Document Details

Document Type
Technical Report
Publication Date
Sep 29, 1987
Accession Number
ADA191668

Entities

People

  • Demetri Psaltis
  • Yaser Abu-mostafa

Organizations

  • California Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Computational Science
  • Computers
  • Detectors
  • Electrical Engineering
  • Information Theory
  • Mathematical Models
  • Neural Networks
  • Optical Modulators
  • Optics
  • Pattern Recognition
  • Plane Waves
  • Random Variables
  • Signal Processing
  • Three Dimensional
  • Two Dimensional
  • Waves

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Optical Physics and Photonics.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Machine Translation