Detail publikace

Systems of Fragments of Artificial Neural Networks

SMETANA, B. CHVALINA, J.

Originální název

Systems of Fragments of Artificial Neural Networks

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

When we study structure of the most used artificial neural network - a multilayer perceptron and functionality of an artificial neuron, there is possibility using certain analogy with relations between descriptions of differential equations of a certain quality, in this paper is developed new approach to these subjects. In deeper View of point there can be used some concepts of locale finite trees of fragments of artificial neural networks and further to research by usage of monounary algebras and their characteristics with description and modeling systems of investigated structures of time—varying artificial neurons.

Klíčová slova

neural network, linear ordinary differential operators, groups of time-varying neurons, locally-finite trees

Autoři

SMETANA, B.; CHVALINA, J.

Vydáno

4. 2. 2020

ISBN

978-80-227-4983-1

Kniha

19th Conference on Applied Mathematics Aplimat 2020 Proceedings

Edice

1

Číslo edice

1

Strany od

253

Strany do

270

Strany počet

18

BibTex

@inproceedings{BUT162602,
  author="Bedřich {Smetana} and Jan {Chvalina}",
  title="Systems of Fragments of Artificial Neural Networks",
  booktitle="	19th Conference on Applied Mathematics Aplimat 2020 Proceedings",
  year="2020",
  series="1",
  number="1",
  pages="253--270",
  isbn="978-80-227-4983-1"
}