GROUPS AND HYPERGROUPS OF ARTIFICIAL NEURONS

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F18%3A00536119" target="_blank" >RIV/60162694:G42__/18:00536119 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/18:PU128231
Result on the web
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DOI - Digital Object Identifier
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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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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
17th CONFERENCE ON APPLIED MATHEMATICS APLIMAT 2018 PROCEEDINGS
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
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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