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Optics Letters

Optics Letters

| RAPID, SHORT PUBLICATIONS ON THE LATEST IN OPTICAL DISCOVERIES

  • Vol. 14, Iss. 17 — Sep. 1, 1989
  • pp: 928–930

Influence of interconnection weight discretization and noise in an optoelectronic neural network

A. Von Lehmen, E. G. Paek, P. F. Liao, A. Marrakchi, and J. S. Patel  »View Author Affiliations


Optics Letters, Vol. 14, Issue 17, pp. 928-930 (1989)
http://dx.doi.org/10.1364/OL.14.000928


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Abstract

The effect of discretizing interconnection weight strengths in an optoelectronic learning neural network based on the backpropagation algorithm is investigated. We discuss how discretization arises in such an implementation. Using computer simulations we find that learning performance, as tested on the two-input XOR problem, is poor but that the addition of noise to the system results in substantial improvement.

© 1989 Optical Society of America

History
Original Manuscript: December 18, 1987
Manuscript Accepted: June 2, 1989
Published: September 1, 1989

Citation
A. Von Lehmen, E. G. Paek, P. F. Liao, A. Marrakchi, and J. S. Patel, "Influence of interconnection weight discretization and noise in an optoelectronic neural network," Opt. Lett. 14, 928-930 (1989)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-14-17-928

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