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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 41, Iss. 20 — Jul. 10, 2002
  • pp: 4162–4180

Optical finite impulse response neural networks

Paulo E. X. Silveira, G. S. Pati, and Kelvin H. Wagner  »View Author Affiliations


Applied Optics, Vol. 41, Issue 20, pp. 4162-4180 (2002)
http://dx.doi.org/10.1364/AO.41.004162


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Abstract

The finite impulse response neural network is described in detail. Different algorithms capable of temporal back-propagation are considered, including a novel modification to the conventional algorithm, called the delayed-feedback back-propagation algorithm. We present and analyze different optoelectronic processors making use of adaptive volume holograms and three-dimensional optical processing. Two single-layer architectures are presented: the input delay plane architecture and the output delay plane architecture. By combining them it is possible to implement both forward and backward propagation in two multi-layer architectures: the first making use of the conventional temporal back-propagation and the second making use of delayed-feedback back-propagation.

© 2002 Optical Society of America

OCIS Codes
(200.4260) Optics in computing : Neural networks
(200.4560) Optics in computing : Optical data processing

History
Original Manuscript: August 13, 2001
Revised Manuscript: February 25, 2002
Published: July 10, 2002

Citation
Paulo E. X. Silveira, G. S. Pati, and Kelvin H. Wagner, "Optical finite impulse response neural networks," Appl. Opt. 41, 4162-4180 (2002)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-41-20-4162

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