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Detail publikačního výsledku
SMETANA, B.; CHVALINA, J.
Originální název
Systems of Fragments of Artificial Neural Networks
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
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.
Anglický abstrakt
Klíčová slova
neural network, linear ordinary differential operators, groups of time-varying neurons, locally-finite trees
Klíčová slova v angličtině
Autoři
Rok RIV
2021
Vydáno
04.02.2020
ISBN
978-80-227-4983-1
Kniha
19th Conference on Applied Mathematics Aplimat 2020 Proceedings
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" }