Detail publikace

GROUPS AND HYPERGROUPS OF ARTIFICIAL NEURONS

SMETANA, B. CHVALINA, J.

Originální název

GROUPS AND HYPERGROUPS OF ARTIFICIAL NEURONS

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

When we study structure of the most used artificial neural network - multilayer perceptron and functionality of artificial neuron, there is possibility using several ways to describe function and neural network properties on the basis of known algebraic structures, vector spaces and graphs theory or properties of relations. Using certain analogy with relations between descriptions of differential equations certain quality there is developed access to new view point on these subjects. In this paper some concepts of description and modelling systems of neurons are investigated.

Klíčová slova

Neural network, transposition hypergroups, linear ordinary differential operators, groups of neurons.

Autoři

SMETANA, B.; CHVALINA, J.

Vydáno

5. 2. 2018

Nakladatel

Slovak University of Technology in Bratislava, Faculty of Mechanical Engineering

Místo

Bratislava

ISBN

978-80-227-4765-3

Kniha

Proceedings, 17th Conference on Applied Mathematics – APLIMAT 2018

Edice

1

Číslo edice

1

Strany od

232

Strany do

243

Strany počet

12

URL

http://evlm.stuba.sk/APLIMAT/indexe.htm

BibTex

@inproceedings{BUT148455,
  author="Bedřich {Smetana} and Jan {Chvalina}",
  title="GROUPS AND HYPERGROUPS OF ARTIFICIAL NEURONS",
  booktitle="Proceedings, 17th Conference on Applied Mathematics – APLIMAT 2018",
  year="2018",
  series="1",
  number="1",
  pages="232--243",
  publisher="Slovak University of Technology in Bratislava, Faculty of Mechanical Engineering",
  address="Bratislava",
  isbn="978-80-227-4765-3",
  url="http://evlm.stuba.sk/APLIMAT/indexe.htm"
}