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Proceedings Paper

Effect of normalized interconnect matrix on the performance of Hopfield neural network
Author(s): Shaoping Bian; Jie Li; Kebin Xu
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Paper Abstract

It is shown by theoretical analysis and numerical simulations that there are some senses of reduction of the convergence property when the multi-valued matrix is substituted by a normalized matrix. Also, an optical experimental implementation scheme of Hopfield neural network which uses a novel multi-valued synaptic interconnect matrix realized by a combined system of LCLV and CRT controlled by a microcomputer is proposed.

Paper Details

Date Published: 1 March 1992
PDF: 7 pages
Proc. SPIE 1608, Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods, (1 March 1992); doi: 10.1117/12.135120
Show Author Affiliations
Shaoping Bian, Harbin Institute of Technology (China)
Jie Li, Harbin Institute of Electric Technology (China)
Kebin Xu, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 1608:
Intelligent Robots and Computer Vision X: Neural, Biological, and 3-D Methods
David P. Casasent, Editor(s)

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