Artificial Neural Networks and Logic Circuit Synthesis

被引：0
|
作者：
Gurov S.I. [1 ]
Zolotarev D.V. [1 ]
Samburskii A.I. [1 ]
机构：
[1] Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow
来源：
Computational Mathematics and Modeling | 2021年 / 32卷 / 4期
关键词：
logic circuit synthesis; majority logic; recursive neural networks;
D O I：
10.1007/s10598-022-09548-z
中图分类号：
学科分类号：
摘要：
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. © 2022, Springer Science+Business Media, LLC, part of Springer Nature.
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收藏
页码：490 / 499
页数：9
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