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International Journal of Soft Computing

ISSN: Online
ISSN: Print 1816-9503
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Arithmetical Logic for AI Deep Learning

Yvon Gauthier
Page: 31-36 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

A logico-mathematical foundation for deep learning in artificial intelligence is proposed using Kronecker’s theory of homogeneous polynomials and Hensel’s lifting lemma in modular arithmetic. It is suggested that such a foundation is appropriate for the multileveled architec tures of deep learning scenarios in artificial intelligence.


How to cite this article:

Yvon Gauthier. Arithmetical Logic for AI Deep Learning.
DOI: https://doi.org/10.36478/ijscomp.2018.31.36
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2018.31.36