Global exponential convergence of delayed inertial Cohen–Grossberg neural networks

In this paper, the exponential convergence of delayed inertial Cohen–Grossberg neural networks (CGNNs) is studied. Two methods are adopted to discuss the inertial CGNNs, one is expressed as two first-order differential equations by selecting a variable substitution, and the other does not change th...

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Detalhes bibliográficos

Principais autores:	Yanqiu Wu, Nina Dai, Zhengwen Tu, Liangwei Wang, Qian Tang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Vilnius University Press 2023-10-01
coleção:	Nonlinear Analysis
Assuntos:	inertial Cohen–Grossberg neural networks time-varying delays exponential convergence convergence rate
Acesso em linha:	https://www.journals.vu.lt/nonlinear-analysis/article/view/33431
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