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Analog versus discrete neural networks

B DasGupta1, G Schnitger

  • 1Department of Computer Science, University of Waterloo, Ontario, Canada.

Neural Computation
|May 15, 1996
PubMed
Summary

Analog neural networks with smooth activation functions compute complex Boolean functions using fewer gates than discrete networks. This demonstrates the superior power of analog neural networks for Boolean function computation.

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Failed At:

2026-06-19T13:41:00.820217+00:00

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