Canonicalization of Threshold Logic Representation and Its Applications

Threshold logic functions gain revived attention due to their connection to neural networks employed in deep learning. Despite prior endeavors in the characterization of threshold logic functions, to the best of our knowledge, the quest for a canonical representation of threshold logic functions in...

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Veröffentlicht in:	2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD) S. 1 - 8
Hauptverfasser:	Lee, Siang-Yun, Lee, Nian-Ze, Jiang, Jie-Hong R.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 01.11.2018
Schlagworte:	Artificial neural networks canonical representation Hardware Linear programming Logic circuits Logic functions logic synthesis threshold logic
ISSN:	1558-2434
Online-Zugang:	Volltext
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