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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 31, Iss. 23 — Aug. 10, 1992
  • pp: 4712–4719

Optical neural network with bipolar neural states

Xu-Ming Wang and Guo-Guang Mu  »View Author Affiliations


Applied Optics, Vol. 31, Issue 23, pp. 4712-4719 (1992)
http://dx.doi.org/10.1364/AO.31.004712


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Abstract

A method to achieve bipolar performance in a single-channel optical associative memory is presented. By coding the biased interconnection weights, a distributed background, and an input-dependent dynamic threshold on a single mask, we construct an optical network with both bipolar neural states and bipolar interconnections. Content addressability and other properties are improved by the introduction of a distributed background, as compared with the case in which this background is not used. Computer simulations and optical experiments are performed based on the Hopfield algorithm.

© 1992 Optical Society of America

History
Original Manuscript: May 21, 1991
Published: August 10, 1992

Citation
Xu-Ming Wang and Guo-Guang Mu, "Optical neural network with bipolar neural states," Appl. Opt. 31, 4712-4719 (1992)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-31-23-4712


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References

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