On higher order noise immune perceptrons

V. Beiu

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

This paper details a systematic method for significantly enhancing the noise margins of very fast threshold gates. The method is based on adding nonlinear terms determined from the Boolean form of the linearly separable (threshold) function to be implemented. It follows that linearly separable functions can be computed with high noise immunity by higher order perceptrons. Simulation results support our theoretical claims. Finally, two methods for drastically reducing the dissipated power of such higher order perceptron gates down to <50%, and respectively <10% are suggested.

Original languageEnglish
Pages246-251
Number of pages6
Publication statusPublished - 2001
Externally publishedYes
EventInternational Joint Conference on Neural Networks (IJCNN'01) - Washington, DC, United States
Duration: Jul 15 2001Jul 19 2001

Other

OtherInternational Joint Conference on Neural Networks (IJCNN'01)
Country/TerritoryUnited States
CityWashington, DC
Period7/15/017/19/01

Keywords

  • Noise immunity
  • Threshold gates
  • Threshold logic
  • VLSI design

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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