Detail publikačního výsledku

Enlargement and algebraization of the systems of chains of groups of differential neurons

CHVALINA, J.; NOVÁK, M.; SMETANA, B.

Originální název

Enlargement and algebraization of the systems of chains of groups of differential neurons

Anglický název

Enlargement and algebraization of the systems of chains of groups of differential neurons

Druh

Stať ve sborníku mimo WoS a Scopus

Originální 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.

Anglický 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

Klíčová slova v angličtině

hypergroupoid, differential neurons, proximity space

Autoři

CHVALINA, J.; NOVÁK, M.; SMETANA, B.

Rok RIV

2025

Vydáno

18.12.2024

Nakladatel

Univerzita obrany

Místo

Brno

Kniha

Mathematics, Information Technologies and Applied Sciences 2024, post-conference proceedings of extended versions of selected papers

Strany od

55

Strany do

65

Strany počet

11

URL

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"
}