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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 43, Iss. 4 — Feb. 1, 2004
  • pp: 866–876

Programmable optoelectronic neural network for optimization

Keith J. Symington, Yves Randle, Andrew J. Waddie, Mohammed R. Taghizadeh, and John F. Snowdon  »View Author Affiliations


Applied Optics, Vol. 43, Issue 4, pp. 866-876 (2004)
http://dx.doi.org/10.1364/AO.43.000866


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Abstract

An optoelectronic neural network is presented that is designed to solve the assignment problem—or any similar optimization task given minimal adjustment—in both crossbar and banyan packet switches. We examine the design decisions made at the hardware, software, and algorithmic levels and indicate the associated effect on the system as a whole. Clearly detailed experimental results show the system’s robustness and performance due to the particular optoelectronic-algorithm combination used. The integration and packaging of such a system are also briefly discussed.

© 2004 Optical Society of America

OCIS Codes
(060.4250) Fiber optics and optical communications : Networks
(200.4260) Optics in computing : Neural networks
(200.4700) Optics in computing : Optical neural systems

History
Original Manuscript: June 13, 2003
Revised Manuscript: September 23, 2003
Published: February 1, 2004

Citation
Keith J. Symington, Yves Randle, Andrew J. Waddie, Mohammed R. Taghizadeh, and John F. Snowdon, "Programmable optoelectronic neural network for optimization," Appl. Opt. 43, 866-876 (2004)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-43-4-866


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References

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