Unsupervised learning for autonomous systems

Adel L. Ali; Kamal Ali

doi:10.1117/12.56747

1 March 1992 Unsupervised learning for autonomous systems

Adel L. Ali, Kamal Ali

Proceedings Volume 1612, Cooperative Intelligent Robotics in Space II; (1992) https://doi.org/10.1117/12.56747
Event: Robotics '91, 1991, Boston, MA, United States

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.

Citation Download Citation

Adel L. Ali and Kamal Ali "Unsupervised learning for autonomous systems", Proc. SPIE 1612, Cooperative Intelligent Robotics in Space II, (1 March 1992); https://doi.org/10.1117/12.56747

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