Study on Extremizing Adaptive Systems and Applications to Synthetic Aperture Radars.
Annual scientific rept. 10 Sep 82-9 Sep 83,
ENVIRONMENTAL RESEARCH INST OF MICHIGAN ANN ARBOR
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Klopfs work on the functioning of the neuron was studied and critically examined for engineering application possibilities. Similarly, Bartos work on the implementation of Klopfs ideas in computer simulated netssystems 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.
- Active and Passive Radar Detection and Equipment