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Proceedings Paper

Image Algebra And Its Relationship To Neural Networks
Author(s): G. X. Ritter; D. Li; J. N. Wilson
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Paper Abstract

In this paper we show that the mathematical theory known as image algebra not only incorporates the mathematics underlying artificial neural networks, but also provides for novel methods of neural computing. These methods are not covered by current neural network models but are an intrinsic part of the image algebra. In this sense, image algebra provides a mathematical framework for a more general theory of artificial neural networks and a language for computing with neural networks.

Paper Details

Date Published: 30 August 1989
PDF: 12 pages
Proc. SPIE 1098, Aerospace Pattern Recognition, (30 August 1989); doi: 10.1117/12.960428
Show Author Affiliations
G. X. Ritter, University of Florida (United States)
D. Li, University of Florida (United States)
J. N. Wilson, University of Florida (United States)

Published in SPIE Proceedings Vol. 1098:
Aerospace Pattern Recognition
Marshall R. Weathersby, Editor(s)

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