Pullback attractors for stochastic recurrent neural networks with discrete and distributed delays

In this paper, we investigate a class of stochastic recurrent neural networks with discrete and distributed delays for both biological and mathematical interests. We do not assume any Lipschitz condition on the nonlinear term, just a continuity assumption together with growth conditions so that the...

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Veröffentlicht in:	Electronic Research Archive 2021-06, Vol.29 (2), p.2187-2221
Hauptverfasser:	Sui, Meiyu, Wang, Yejuan, Kloeden, Peter E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Neural networks
Online-Zugang:	Volltext
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