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Proceedings Paper

Two spacecrafts' attitude determination using neural networks and image processing
Author(s): Juan Seijas; Jose L. Sanz-Gonzalez
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Paper Abstract

This paper presents a procedure for optimizing a neural network architecture, used in a system for spacecraft attitude and position determination. The procedure establishes the neural network structure and the training algorithm. A new version of basic-evolutive algorithm is presented, basic-evolutive 1 and basic-evolutive 2 algorithms are capable of setting the appropriate dimension of the neural network and the adequate weights interconnecting the neurons. The results produced by both versions are tested with a very wide set of different spacecrafts' maneuvers simulations. The algorithms performances are contrasted with backpropagation training algorithm performances. The capability of the resulting neural network architecture for generalizing is also verified.

Paper Details

Date Published: 6 April 1995
PDF: 10 pages
Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); doi: 10.1117/12.205095
Show Author Affiliations
Juan Seijas, SENER Ingenieria y Sistemas and Univ. Politecnica de Madrid (Spain)
Jose L. Sanz-Gonzalez, Univ. Politecnica de Madrid (Spain)


Published in SPIE Proceedings Vol. 2492:
Applications and Science of Artificial Neural Networks
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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