Detail publikace

Series of Semihypergroups of Time-Varying Artificial Neurons and Related Hyperstructures

SMETANA, B. CHVALINA, J.

Originální název

Series of Semihypergroups of Time-Varying Artificial Neurons and Related Hyperstructures

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

Detailed analysis of the function of multilayer perceptron (MLP) and its neurons together with the use of time-varying neurons allowed the authors to find an analogy with the use of structures of linear differential operators. This procedure allowed the construction of a group and a hypergroup of artificial neurons. In this article, focusing on semihyperstructures and using the above described procedure, the authors bring new insights into structures and hyperstructures of artificial neurons and their possible symmetric relations.

Klíčová slova

time-varying artificial neuron; ordered group; transposition hypergroup; linear differential operator

Autoři

SMETANA, B.; CHVALINA, J.

Vydáno

17. 7. 2019

Nakladatel

MDPI

Místo

Basel, Switzerland.

ISSN

2073-8994

Periodikum

Symmetry

Ročník

11

Číslo

7

Stát

Švýcarská konfederace

Strany od

1

Strany do

12

Strany počet

12

URL

Plný text v Digitální knihovně

BibTex

@article{BUT157732,
  author="Bedřich {Smetana} and Jan {Chvalina}",
  title="Series of Semihypergroups of Time-Varying Artificial Neurons and Related Hyperstructures",
  journal="Symmetry",
  year="2019",
  volume="11",
  number="7",
  pages="1--12",
  doi="10.3390/sym11070927",
  issn="2073-8994",
  url="https://www.mdpi.com/2073-8994/11/7/927"
}