Stability for delayed reaction–diffusion neural networks

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2007 Italy English Publisher:Elsevier BVJournal:Physics Letters A, volume 360, pages 669-680 (issn: 0375-9601,

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Authors: Allegretto W.; Papini D.;

doi: 10.1016/j.physleta.2006.08.073

handle: 11365/23618 , 11390/1197790 , 11380/1316017

Stability for delayed reaction–diffusion neural networks

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Abstract

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Country

Italy

Related Organizations

University of Alberta
Canada
University of Siena
Italy
University of Modena and Reggio Emilia
Italy
University of Udine
Italy

Keywords

exponential stability, Reaction–diffusion, Periodic solutions, Hopfield neural networks, Partial functional-differential equations, reaction-diffusion, Discontinuous activations; Exponential stability; Hopfield neural networks; Periodic solutions; Reaction-diffusion; Time-dependent delays, periodic solutions, Neural networks for/in biological studies, artificial life and related topics, Exponential stability, Hopfield neural network, Hopfield neural networks; Reaction–diffusion; Time-dependent delays; Discontinuous activations; Exponential stability; Periodic solutions, Dynamical systems in biology, 510, Reaction-diffusion equations, Discontinuous activation, Initial-boundary value problems for second-order parabolic equations, Hopfield neural networks; Reaction–diffusion; Time-dependent delays; Discontinuous activations; Exponential stability; Periodic solutions; Hopfield neural networks; Reaction–diffusion; Time-dependent delays; Discontinuous activations; Exponential stability; Periodic solutions, discontinuous activations, Time-dependent delay, time-dependent delays, Stability in context of PDEs

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