Unpredictable and Poisson Stable Oscillations of Inertial Neural Networks with Generalized Piecewise Constant Argument

A new model of inertial neural networks with a generalized piecewise constant argument as well as unpredictable inputs is proposed. The model is inspired by unpredictable perturbations, which allow to study the distribution of chaotic signals in neural networks. The existence and exponential stabili...

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Detalles Bibliográficos
Autores principales: Akhmet, Marat, Tleubergenova, Madina, Nugayeva, Zakhira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137397/
https://www.ncbi.nlm.nih.gov/pubmed/37190408
http://dx.doi.org/10.3390/e25040620

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137397/
https://www.ncbi.nlm.nih.gov/pubmed/37190408
http://dx.doi.org/10.3390/e25040620

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