Development of Free-Space Optoelectronic Neural Systems on Hybrid SI/PLZT Technology.

Abstract

On this grant research was conducted in three directions to make progress towards the goal of implementing large scale learning neural networks on compact optoelectronic multichip modules. (1) Refinement of the Fuzzy ARTMAP neural network algorithm. The algorithm is very well suited to hardware implementation, but previously did not perform well on most real problems. (2) Design, fabrication, and characterization of birefringent computer generated holograms to implement the OTIS optical system for reflective modulators. This optical system provides a k-shuffle interconnection pattern that may be used to implement a backpropagation neural network. (3) Development of a single, compact, efficient optical system (OTIS-VE) compatible with surface-normal transmitters (such as VCSELs) implementing the k-shuffle interconnection pattern.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1996
Accession Number
ADA320860

Entities

People

  • Sadik Esener

Organizations

  • University of California, San Diego

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Computer Programs
  • Computers
  • Fabrication
  • Holograms
  • Learning
  • Modulators
  • Multichip Modules
  • Neural Networks
  • Transmitters

Readers

  • Integrated Circuit Design and Technology.
  • Neural Network Machine Learning.
  • Optical Physics and Photonics.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks
  • Microelectronics
  • Space