JOURNAL ARTICLE

<title>Unsupervised learning for autonomous systems</title>

Adel L. AliKamal S. Ali

Year: 1992 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 1612 Pages: 74-78   Publisher: SPIE

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.

Keywords:
Computer science Artificial neural network Fault tolerance Artificial intelligence Unsupervised learning Deep neural networks Machine learning Distributed computing

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Topics

Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Neural Networks and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Target Tracking and Data Fusion in Sensor Networks
Physical Sciences →  Computer Science →  Artificial Intelligence

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