Zobrazeno 1 - 10
of 36
pro vyhledávání: '"High-order inertial neural networks"'
Publikováno v:
In Applied Mathematics and Computation 15 October 2021 407
Publikováno v:
In Journal of the Franklin Institute March 2023 360(4):2848-2866
Publikováno v:
Journal of the Franklin Institute. 360:2848-2866
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29251b2f58fc78906343a3471cf32d1e
https://doi.org/10.1016/j.jfranklin.2023.01.019
https://doi.org/10.1016/j.jfranklin.2023.01.019
Publikováno v:
Applied Mathematics and Computation. 407:126308
This article mainly explores the global h-stability for proportional delay high-order inertial neural networks. Without adopting reduced order method, a new Lyapunov–Krasovskii functional is constructed to derive the delay-dependent global h-stabil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ef14e66e5b8a2bc59ac58955477eaf9
https://doi.org/10.1016/j.amc.2021.126308
https://doi.org/10.1016/j.amc.2021.126308
Anti-periodic dynamics on high-order inertial Hopfield neural networks involving time-varying delays
Autor:
Qian Cao, Xiaojin Guo
Publikováno v:
AIMS Mathematics, Vol 5, Iss 6, Pp 5402-5421 (2020)
Taking into accounting time-varying delays and anti-periodic environments, this paper deals with the global convergence dynamics on a class of anti-periodic high-order inertial Hopfield neural networks. First of all, with the help of Lyapunov functio
Externí odkaz:
https://doaj.org/article/fd87c11c40704e94beca69f8fc7c915e
Autor:
Luogen Yao, Qian Cao
Publikováno v:
Journal of Inequalities and Applications, Vol 2020, Iss 1, Pp 1-22 (2020)
Abstract This paper deals with a class of high-order inertial Hopfield neural networks involving mixed delays. Utilizing differential inequality techniques and the Lyapunov function method, we obtain a sufficient assertion to ensure the existence and
Externí odkaz:
https://doaj.org/article/bba050ddd7274002b9892684e2cb5772
Akademický článek
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Autor:
Qian Cao, Luogen Yao
Publikováno v:
Journal of Inequalities and Applications, Vol 2020, Iss 1, Pp 1-22 (2020)
This paper deals with a class of high-order inertial Hopfield neural networks involving mixed delays. Utilizing differential inequality techniques and the Lyapunov function method, we obtain a sufficient assertion to ensure the existence and global e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca753b16d882d07b6763e247283818ca
http://link.springer.com/article/10.1186/s13660-020-02444-3
http://link.springer.com/article/10.1186/s13660-020-02444-3
Publikováno v:
In Information Sciences August 2022 607:62-78
Autor:
Yao, Luogen1 (AUTHOR) yaoluogen2016@163.com, Cao, Qian2 (AUTHOR)
Publikováno v:
Journal of Inequalities & Applications. 7/2/2020, Vol. 2020 Issue 1, p1-22. 22p.