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Proceedings Paper

Unsupervised learning for autonomous systems
Author(s): Adel L. Ali; Kamal Ali
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Paper Abstract

This paper addresses the impact of neural networks on autonomous systems. Some neural network models are used to illustrate the effectiveness and suitability of these networks for space exploration. Fault tolerance and self learning capabilities of neural networks are used to illustrate such suitability. The advantages and disadvantages of the utilization of neural networks in autonomous systems are discussed and contrasted with the conventional systems currently in use.

Paper Details

Date Published: 1 March 1992
PDF: 5 pages
Proc. SPIE 1612, Cooperative Intelligent Robotics in Space II, (1 March 1992); doi: 10.1117/12.56747
Show Author Affiliations
Adel L. Ali, Univ. of Southern Mississippi (United States)
Kamal Ali, Univ. of Southern Mississippi (United States)


Published in SPIE Proceedings Vol. 1612:
Cooperative Intelligent Robotics in Space II
William E. Stoney, Editor(s)

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