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1 March 1992 Unsupervised learning for autonomous systems
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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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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