Anzeige
Erschienen in:
2011 | OriginalPaper | Buchkapitel
Stability of Neural Networks
verfasst von : Marat Akhmet
Erschienen in: Nonlinear Hybrid Continuous/Discrete-Time Models
Verlag: Atlantis Press
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In this chapter, the method of Lyapunov functions for differential equations with piecewise constant argument considered in Chapter 5 is applied to a model of recurrent neural networks (RNNs). The model includes both advanced and delayed arguments. We obtain sufficient conditions for global exponential stability of the equilibrium point. The feasibility of the results are illustrated by examples with numerical simulations.