MODELS OF ITERATED ARTIFICIAL NEURONS

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG42__%2F19%3A00536648" target="_blank" >RIV/60162694:G42__/19:00536648 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
MODELS OF ITERATED ARTIFICIAL NEURONS
Original language description
Application of algebraic structures in research of structure of the most used artiﬁcial neural network - multilayer perceptron and functionality of artiﬁcial neuron, is one from current the most interesting areas in the usage of time varying artiﬁcial neurons. In this paper, we have described certain properties of constructed algebraic structures of artiﬁcial neurons, including the hypergroup formed by iterated models of artiﬁcial neurons. We describe constructions of P-hypergroups - a certain special case of which are variants of semigroups - of artiﬁcial time-varying neurons based on investigations of Vougiouklis - Konguetsof and also construction of the cascade with the phase set of neurons. These concepts yield a base for the building of algebraic systems of artiﬁcial neurons which deserves to be developed.
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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
18th CONFERENCE ON APPLIED MATHEMATICS, APLIMAT 2019
ISBN
978-151088214-0
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
203-212
Publisher name
Slovak University of Technology in Bratislava
Place of publication
Bratislava
Event location
Bratislava
Event date
Feb 5, 2019
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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