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BAŠTINEC, J.; DIBLÍK, J.; KHUSAINOV, D.; SHATYRKO, A.
Original Title
Estimates of Solution Convergence Dynamical Processes in Neuronet with Time Delay
English Title
Type
Paper in proceedings (conference paper)
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.
English abstract
Keywords
neuronet, time-delay, stability, estimates, Lyapunov function
Key words in English
Authors
RIV year
2020
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" }