@article{MAKHILLIJSC201813121440,
    title = {Arithmetical Logic for AI Deep Learning},
    journal = {International Journal of Soft Computing},
    volume = {13},
    number = {1},
    pages = {31-36},
    year = {2018},
    issn = {1816-9503},
    doi = {ijscomp.2018.31.36},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2018.31.36},
    author = {Yvon},
    keywords = {Polynomial modular logic,modular arithmetic,Kronecker’s theory of forms,Hen-sel’s lifting lemma,foundation,homogeneous},
    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.}
    }