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Proceedings Paper

Pattern Recognition Using A Neural Network
Author(s): M. R. Sayeh; J. Y. Han
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Paper Abstract

In this paper we introduce a new "neural" network for pattern recognition based on a gradient system. It is not, however, attempted to model any known behavior of biological neurons. This network stores any number of non-binary patterns (as its limit points) and retrieves them by associative recall. The network does not suffer from erroneous limit points. A realization of the network is given, which have heavily interconnected computing units. Finally two network examples are discussed.

Paper Details

Date Published: 19 February 1988
PDF: 5 pages
Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); doi: 10.1117/12.942748
Show Author Affiliations
M. R. Sayeh, Southern Illinois University (United States)
J. Y. Han, Southern Illinois University (United States)

Published in SPIE Proceedings Vol. 0848:
Intelligent Robots and Computer Vision VI
David P. Casasent; Ernest L. Hall, Editor(s)

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