Paper
3 May 1988 Continuous Time Neural Networks
H J Caulfield
Author Affiliations +
Proceedings Volume 0882, Neural Network Models for Optical Computing; (1988) https://doi.org/10.1117/12.944099
Event: 1988 Los Angeles Symposium: O-E/LASE '88, 1988, Los Angeles, CA, United States
Abstract
Analog optical neural networks permit us to assemble continuous - input, continuous-output systems. These can have great advantages relative to their digital counterparts.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
H J Caulfield "Continuous Time Neural Networks", Proc. SPIE 0882, Neural Network Models for Optical Computing, (3 May 1988); https://doi.org/10.1117/12.944099
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Cited by 1 scholarly publication.
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KEYWORDS
Neural networks

Optical computing

Analog electronics

Systems modeling

Matrices

Artificial neural networks

Biological neural networks

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