Artificial Neural Networks and Logic Circuit Synthesis

We consider the application of artificial neural networks to logic circuit synthesis. The potential promise of this method is shown. Circuit optimization in a majority logic basis is demonstrated. A method is proposed for the application of recursive neural networks for the construction of an algori...

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Veröffentlicht in:	Computational mathematics and modeling 2021, Vol.32 (4), p.490-499
Hauptverfasser:	Gurov, S. I., Zolotarev, D. V., Samburskii, A. I.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applications of Mathematics Artificial neural networks Computational Mathematics and Numerical Analysis Logic circuits Mathematical Modeling and Industrial Mathematics Mathematics Mathematics and Statistics Neural networks Optimization Synthesis
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Beschreibung
Zusammenfassung:	We consider the application of artificial neural networks to logic circuit synthesis. The potential promise of this method is shown. Circuit optimization in a majority logic basis is demonstrated. A method is proposed for the application of recursive neural networks for the construction of an algorithm for logiccircuit synthesis and size optimization.
ISSN:	1046-283X 1573-837X
DOI:	10.1007/s10598-022-09548-z