Detail publikace

Estimates of Solution Convergence Dynamical Processes in Neuronet with Time Delay

BAŠTINEC, J. DIBLÍK, J. KHUSAINOV, D. SHATYRKO, A.

Originální název

Estimates of Solution Convergence Dynamical Processes in Neuronet with Time Delay

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

neuronet, time-delay, stability, estimates, Lyapunov function

Autoři

BAŠTINEC, J.; DIBLÍK, J.; KHUSAINOV, D.; SHATYRKO, A.

Vydáno

20. 12. 2019

Nakladatel

Institute of Electrical and Electronics Engineers Inc.

Místo

Kyjev, Ukrajina

ISBN

9781728161440

Kniha

Confgerence Proceedings “IEEE ATIT 2019" (Advanced Trends in Information Theory)

Strany od

411

Strany do

414

Strany počet

4

BibTex

@inproceedings{BUT162457,
  author="Jaromír {Baštinec} and Josef {Diblík} and Denys {Khusainov} and Andrej {Shatyrko}",
  title="Estimates of Solution Convergence Dynamical Processes in Neuronet with Time Delay",
  booktitle="Confgerence Proceedings “IEEE ATIT 2019{"} (Advanced Trends in Information Theory)",
  year="2019",
  pages="411--414",
  publisher="Institute of Electrical and Electronics Engineers Inc.",
  address="Kyjev, Ukrajina",
  doi="10.1109/ATIT49449.2019.9030506",
  isbn="9781728161440"
}