Novel optoelectronic neural network

Jack N. Cederquist; Daniel K. Angell; John H. Seldin; Kirk A. Weigand

doi:10.1117/12.138336

1 July 1992 Novel optoelectronic neural network

Jack N. Cederquist, Daniel K. Angell, John H. Seldin, Kirk A. Weigand

Proceedings Volume 1701, Optical Pattern Recognition III; (1992) https://doi.org/10.1117/12.138336
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

Citation Download Citation

Jack N. Cederquist, Daniel K. Angell, John H. Seldin, and Kirk A. Weigand "Novel optoelectronic neural network", Proc. SPIE 1701, Optical Pattern Recognition III, (1 July 1992); https://doi.org/10.1117/12.138336

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