&lt;title&gt;Novel optoelectronic neural network&lt;/title&gt;

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

doi:10.1117/12.138336

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<title>Novel optoelectronic neural network</title>

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

Year: 1992 Journal: Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 1701 Pages: 283-285 Publisher: SPIE

DOI: 10.1117/12.138336

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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.

Keywords:

Photodetector Artificial neural network Computer science Diode Optoelectronics Variety (cybernetics) Power (physics) Optical power Light-emitting diode Electronic engineering Artificial intelligence Optics Materials science Physics Engineering Laser

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Semiconductor Lasers and Optical Devices

Physical Sciences → Engineering → Electrical and Electronic Engineering

<title>Novel optoelectronic neural network</title>

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