Publication detail

Estimates of Solution Convergence Dynamical Processes in Neuronet with Time Delay

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

Original Title

Estimates of Solution Convergence Dynamical Processes in Neuronet with Time Delay

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

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

Released

20. 12. 2019

Publisher

Institute of Electrical and Electronics Engineers Inc.

Location

Kyjev, Ukrajina

ISBN

9781728161440

Book

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

Pages from

411

Pages to

414

Pages count

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"
}