Learning and Self-Repairing Systems

Abstract

The research covered by this grant concentrated on the development of computing algorithms for learning and self-repairing systems. During the report period, several existing and new methodologies were critically examined. The research resulted in the development of the concepts of learning blocks and association degree, which facilitate the development of learning and self-repairing systems. Methodologies based on these concepts allow a system to extract critical information from its past operation to automatically generate remedies for future malfunctions.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2007
Accession Number
ADA476883

Entities

People

  • Jacob Hammer

Organizations

  • University of Florida

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Closed Loop Systems
  • Communication Networks
  • Computer Communications
  • Computer Networks
  • Computers
  • Distributed Computing
  • Electrical Engineering
  • Engineering
  • Flow Rate
  • Genetic Algorithms
  • Governments
  • Learning
  • Malfunctions
  • Notation
  • Numbers

Readers

  • Distributed Systems and Data Platform Development
  • Military Mobilization and Reserve Forces Studies.
  • Systems Analysis and Design