Voir la notice de l'article provenant de la source Math-Net.Ru
@article{JSFU_2025_18_1_a6, author = {Andrey V. Litavrin and Tatyana V. Moiseenkova}, title = {On some commutative and idempotent finite groupoids associated with subnets of multilayer feedforward neural networks}, journal = {\v{Z}urnal Sibirskogo federalʹnogo universiteta. Matematika i fizika}, pages = {59--70}, publisher = {mathdoc}, volume = {18}, number = {1}, year = {2025}, language = {en}, url = {http://geodesic.mathdoc.fr/item/JSFU_2025_18_1_a6/} }
TY - JOUR AU - Andrey V. Litavrin AU - Tatyana V. Moiseenkova TI - On some commutative and idempotent finite groupoids associated with subnets of multilayer feedforward neural networks JO - Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika PY - 2025 SP - 59 EP - 70 VL - 18 IS - 1 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/JSFU_2025_18_1_a6/ LA - en ID - JSFU_2025_18_1_a6 ER -
%0 Journal Article %A Andrey V. Litavrin %A Tatyana V. Moiseenkova %T On some commutative and idempotent finite groupoids associated with subnets of multilayer feedforward neural networks %J Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika %D 2025 %P 59-70 %V 18 %N 1 %I mathdoc %U http://geodesic.mathdoc.fr/item/JSFU_2025_18_1_a6/ %G en %F JSFU_2025_18_1_a6
Andrey V. Litavrin; Tatyana V. Moiseenkova. On some commutative and idempotent finite groupoids associated with subnets of multilayer feedforward neural networks. Žurnal Sibirskogo federalʹnogo universiteta. Matematika i fizika, Tome 18 (2025) no. 1, pp. 59-70. http://geodesic.mathdoc.fr/item/JSFU_2025_18_1_a6/
[1] A.V.Litavrin, “Endomorphisms of finite commutative groupoids associated with multilayer neural networks of direct distribution”, Proceedings of the Institute of Mathematics and Mechanics. Ural Branch of the Russian Academy of Sciences, 27:1 (2021), 130–145 | DOI | MR
[2] A.N.Gorban, “Generalized approximation theorem and computational capabilities of neural networks”, Sib. magazine Comput. mat., 1:1 (1998), 11–24 | MR
[3] I.I.Slepovichev, “Algebraic properties of abstract neural networks”, Izv. Sarat. un-ta. New ser. Ser. Mathematics. Mechanics. Computer Science, 16:1 (2016), 96–103 | DOI | MR | Zbl
[4] A.V.Sozykin, “Review of methods for training deep neural networks”, Bulletin of the South Ural State University. Series “Computational Mathematics and Information Science”, 6:3 (2017), 28–59 | DOI
[5] A.V.Litavrin, “On endomorphisms of the additive monoid of subnets of a two-layer neural network”, The Bulletin of Irkutsk State University. Series Mathematics, 39 (2022), 111–126 | DOI | MR | Zbl
[6] A.V.Litavrin, “On some finite commutative groupoids associated with multilayer feed-forward neural networks”, Proceedings of the XXI International Conference dedicated to the 85th anniversary of the birth of A. A. Karatsuba, TSPU im. L. N. Tolstoy, Tula, 2022, 106–109 | MR
[7] A.V.Litavrin, T.V.Moiseenkova, “About one groupoid associated with the composition of multilayer feedforward neural networks”, Zhurnal Srednevolzhskogo matematicheskogo obshchestva, 26:2 (2024), 111–122 | DOI | MR | Zbl