Estimates of Solution Convergence Dynamical Processes in Neuronet with Time Delay

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU135665" target="_blank" >RIV/00216305:26220/19:PU135665 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ATIT49449.2019.9030506" target="_blank" >http://dx.doi.org/10.1109/ATIT49449.2019.9030506</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ATIT49449.2019.9030506" target="_blank" >10.1109/ATIT49449.2019.9030506</a>

Result language
angličtina
Original language name
Estimates of Solution Convergence Dynamical Processes in Neuronet with Time Delay
Original language description
This article is devoted to dynamic processes in the field of artificial intelligence, namely in the tasks of neurodynamics. The problems of stability of transient processes in neural networks, which dynamics can be described by systems of weakly nonlinear functional-differential equations with time-delay, are considered. The direct Lyapunov method with quadratic functions was chosen as the research tool.
Czech name
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Czech description
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Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Confgerence Proceedings “IEEE ATIT 2019" (Advanced Trends in Information Theory)
ISBN
9781728161440
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
411-414
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
Kyjev, Ukrajina
Event location
Kyjev
Event date
Dec 18, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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