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Proceedings Paper

Novel optoelectronic neural network
Author(s): Jack N. Cederquist; Daniel K. Angell; John H. Seldin; Kirk A. Weigand
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Paper Abstract

A hybrid opto-electronic neural network using light emitting diodes, fixed pattern masks, and linear photodetectors is proposed and analyzed. The compact design, low power requirement, and high computational rate make this approach attractive for a variety of optical pattern recognition problems.

Paper Details

Date Published: 1 July 1992
PDF: 3 pages
Proc. SPIE 1701, Optical Pattern Recognition III, (1 July 1992); doi: 10.1117/12.138336
Show Author Affiliations
Jack N. Cederquist, Environmental Research Institute of Michigan (United States)
Daniel K. Angell, Environmental Research Institute of Michigan (United States)
John H. Seldin, Environmental Research Institute of Michigan (United States)
Kirk A. Weigand, Air Force Wright Lab. (United States)

Published in SPIE Proceedings Vol. 1701:
Optical Pattern Recognition III
David P. Casasent; Tien-Hsin Chao, Editor(s)

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