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Proceedings Paper

New class of Hopfield neural networks
Author(s): Ying Liu
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Paper Abstract

Neural network models of the Hopfield type have drawn intensive attention in past years, however, the information capacity of the Hopfield model is limited. Theoretically, the number of arbitrary state vectors that can be made stable in a Hopfield network of N neurons is bounded above by N (Abu-Mostafa and Jacques theorem). In this paper, we study third order Hopfield neural networks.

Paper Details

Date Published: 1 November 1992
PDF: 10 pages
Proc. SPIE 1826, Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods, (1 November 1992); doi: 10.1117/12.131590
Show Author Affiliations
Ying Liu, Savannah State College (United States)


Published in SPIE Proceedings Vol. 1826:
Intelligent Robots and Computer Vision XI: Biological, Neural Net, and 3D Methods
David P. Casasent, Editor(s)

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