GROUPS AND HYPERGROUPS OF ARTIFICIAL NEURONS
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU128231" target="_blank" >RIV/00216305:26220/18:PU128231 - isvavai.cz</a>
Alternative codes found
RIV/60162694:G42__/18:00536119
Result on the web
<a href="http://evlm.stuba.sk/APLIMAT/indexe.htm" target="_blank" >http://evlm.stuba.sk/APLIMAT/indexe.htm</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
GROUPS AND HYPERGROUPS OF ARTIFICIAL NEURONS
Original language description
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.
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
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings, 17th Conference on Applied Mathematics – APLIMAT 2018
ISBN
978-80-227-4765-3
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
232-243
Publisher name
Slovak University of Technology in Bratislava, Faculty of Mechanical Engineering
Place of publication
Bratislava
Event location
Bratislava
Event date
Feb 6, 2018
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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