Neural Networks for High Speed Communication Switching.

Abstract

Neural networks and fuzzy systems have been studied to develop effective means to control highly dynamic high-speed networks in a cost efficient manner. Using the results from a study of robust transfiguring protocols which were designed to recognize changes in assumed network state and adapt to these changing network conditions, a fuzzy control algorithm was implemented.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1999
Accession Number
ADA359959

Entities

People

  • David Perreault
  • Robert Meyer

Organizations

  • Clarkson University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Artificial Intelligence
  • Communication Networks
  • Computer Programming
  • Computer Programs
  • Computers
  • Computing System Architectures
  • Control Systems
  • Fuzzy Logic
  • Fuzzy Sets
  • Military Research
  • Neural Networks
  • Ring Networks
  • Set Theory
  • Simulations

Fields of Study

  • Computer science

Readers

  • Control Systems Engineering.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Neural Networks