Design and Training of Limited-Interconnect Architectures

Abstract

This DRAFT Final Report describes the progress on the AFOSR research contract on the design and training of limited-interconnect neural architectures. A novel local training rule has been derived, an information theoretic analysis to determine capabilities and limitations of multi-layered limited-interconnect neural networks was developed, and the hardware implementation of local training rules analyzed.

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Document Details

Document Type
Technical Report
Publication Date
Jul 16, 1991
Accession Number
ADA251598

Entities

People

  • Lex A. Akers
  • Mark R. Walker
  • Siamack Haghighi

Organizations

  • Arizona State University

Tags

Communities of Interest

  • Advanced Electronics
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Artificial Intelligence Software
  • Classification
  • Computers
  • Detection
  • Detectors
  • Engineering
  • High Resolution
  • Information Processing
  • Information Systems
  • Information Theory
  • Integrated Circuits
  • Neural Networks
  • Pattern Recognition
  • Signal Processing
  • Solid State Electronics

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks