Detail výsledku
Enlargement and algebraization of the systems of chains of groups of differential neurons
CHVALINA, J.; NOVÁK, M.; SMETANA, B. Enlargement and algebraization of the systems of chains of groups of differential neurons. Mathematics, Information Technologies and Applied Sciences 2024, post-conference proceedings of extended versions of selected papers. Brno: Univerzita obrany, 2024. p. 55.
Typ
článek ve sborníku konference
Jazyk
angličtina
Autoři
Chvalina Jan, prof. RNDr., DrSc.
Novák Michal, doc. RNDr., Ph.D., UMAT (FEKT)
Smetana Bedřich, RNDr., Ph.D.
Novák Michal, doc. RNDr., Ph.D., UMAT (FEKT)
Smetana Bedřich, RNDr., Ph.D.
Abstrakt
In the contribution there are used artificial neurons which are basic stones of neural networks. We treat certain properties of constructed algebraic structures of artificial neurons. In particular, we construct chains of differential neurons and hypergroupoids using proximity spaces. Moreover there is used the theory of presheaves which belongs to the important part of general topology.
Klíčová slova
hypergroupoid, differential neurons, proximity space
URL
Rok
2024
Strany
55–65
Sborník
Mathematics, Information Technologies and Applied Sciences 2024, post-conference proceedings of extended versions of selected papers
Konference
MITAV 2024
Vydavatel
Univerzita obrany
Místo
Brno
BibTeX
@inproceedings{BUT197015,
author="Jan {Chvalina} and Michal {Novák} and Bedřich {Smetana}",
title="Enlargement and algebraization of the systems of chains of groups of differential neurons",
booktitle="Mathematics, Information Technologies and Applied Sciences 2024, post-conference proceedings of extended versions of selected papers",
year="2024",
pages="55--65",
publisher="Univerzita obrany",
address="Brno",
url="http://mitav.unob.cz"
}
Pracoviště
Ústav matematiky
(UMAT)