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Proceedings Paper

Impact of noise on an optoelectronic neural network
Author(s): Lin Zhang; Kristina M. Johnson
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Paper Abstract

Noise in an optoelectronic neural network alters the performance of the network. The shortest distance from a pattern to a decision plane limits the amount of system noise the network can tolerate. In this paper the noise model of a neural network implemented in optoelectronics is given, as well as an upper limit on the noise the network can tolerate and still classify patterns.

Paper Details

Date Published: 16 September 1992
PDF: 11 pages
Proc. SPIE 1709, Applications of Artificial Neural Networks III, (16 September 1992); doi: 10.1117/12.140043
Show Author Affiliations
Lin Zhang, Univ. of Colorado/Boulder (United States)
Kristina M. Johnson, Univ. of Colorado/Boulder (United States)

Published in SPIE Proceedings Vol. 1709:
Applications of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

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