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Proceedings Paper

Handwritten character recognition using Hopfield neural network
Author(s): C. Olson; Robert Y. Li
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Paper Abstract

The project investigates the character (digit) recognizing ability of the discrete Hopfield neural network model used as a pattern classifier. Through different experiments, we are looking for quantitative factors that influence the recognizing ability of the neural network.

Paper Details

Date Published: 2 September 1993
PDF: 7 pages
Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); doi: 10.1117/12.152576
Show Author Affiliations
C. Olson, Univ. of Nebraska/Lincoln (United States)
Robert Y. Li, Univ. of Nebraska/Lincoln (United States)

Published in SPIE Proceedings Vol. 1965:
Applications of Artificial Neural Networks IV
Steven K. Rogers, Editor(s)

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