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Proceedings Paper

Limitations Of Opto-Electronic Neural Networks
Author(s): Jeffrey Yu; Alan Johnston; Demetri Psaltis; David Brady
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Paper Abstract

Neural networks are composed of three components: neurons, weights, and connections. Limitation on implementing these components in electronics and optics are discussed. We show that using electronically fabricated neurons and a combination of optics and electronics for the weights and connections efficiently utilizes the advantage of each technology. The choice of the technology used to implement the weights and connections depends on the type of neural network being built.

Paper Details

Date Published: 29 June 1989
PDF: 12 pages
Proc. SPIE 1053, Optical Pattern Recognition, (29 June 1989); doi: 10.1117/12.951514
Show Author Affiliations
Jeffrey Yu, Jet Propulsion Laboratory (United States)
Alan Johnston, Jet Propulsion Laboratory (United States)
Demetri Psaltis, California Institute of Technology (United States)
David Brady, California Institute of Technology (United States)

Published in SPIE Proceedings Vol. 1053:
Optical Pattern Recognition
Hua-Kuang Liu, Editor(s)

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