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Proceedings Paper

Continuous Time Neural Networks
Author(s): H J Caulfield
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Paper Abstract

Analog optical neural networks permit us to assemble continuous - input, continuous-output systems. These can have great advantages relative to their digital counterparts.

Paper Details

Date Published: 3 May 1988
PDF: 4 pages
Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); doi: 10.1117/12.944099
Show Author Affiliations
H J Caulfield, The University of Alabama in Huntsville (United States)

Published in SPIE Proceedings Vol. 0882:
Neural Network Models for Optical Computing
Ravindra A. Athale; Joel Davis, Editor(s)

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