Study on Extremizing Adaptive Systems and Applications to Synthetic Aperture Radars.

Abstract

Klopf's work on the functioning of the neuron was studied and critically examined for engineering application possibilities. Similarly, Barto's work on the implementation of Klopf's ideas in computer simulated nets/systems was studied to determine if it could provide suitable models for physical systems. The latest learning system investigated by Barto, described as 'Learning with an Adaptive Critic' was considered as the most promising for engineering applications. A functional engineering model of that system has been developed and its dynamic behavior of this system is currently being investigated in order to improve our understanding of the system operation and potential applications. In parallel with this study we are looking for possible application of such learning systems in synthetic aperture radars and data exploitation. Several potential applications have already been suggested. These suggestions will be further explored and the most promising will be proposed for full investigation and possible implementation.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1983
Accession Number
ADA133945

Entities

People

  • Demetrios Politis

Organizations

  • Environmental Research Institute of Michigan

Tags

DTIC Thesaurus Topics

  • Adaptive Systems
  • Air Force
  • Air Force Facilities
  • Classification
  • Computer Simulations
  • Contracts
  • Engineering
  • Instructors
  • Learning
  • Michigan
  • Nervous System
  • Radar
  • Scientific Research
  • Security
  • Synthetic Aperture Radar
  • Weighting Functions

Readers

  • Neural Network Machine Learning.
  • Systems Analysis and Design