Systems of Fragments of Artificial Neural Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F20%3APU135770" target="_blank" >RIV/00216305:26220/20:PU135770 - isvavai.cz</a>
Alternative codes found
RIV/60162694:G42__/20:00555652
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Systems of Fragments of Artificial Neural Networks
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10101 - Pure mathematics
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
19th Conference on Applied Mathematics Aplimat 2020 Proceedings
ISBN
978-80-227-4983-1
ISSN
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e-ISSN
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Number of pages
18
Pages from-to
253-270
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Bratislava
Event date
Feb 4, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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