Neural Networks with Discontinuous/Impact Activations

This book presents as its main subject new models in mathematical neuroscience. A wide range of neural networks models with discontinuities are discussed, including impulsive differential equations, differential equations with piecewise constant arguments, and models of mixed type. These models invo...

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Détails bibliographiques
Cote:Libro Electrónico
Auteurs principaux: Akhmet, Marat (Auteur), Yılmaz, Enes (Auteur)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:Inglés
Publié: New York, NY : Springer New York : Imprint: Springer, 2014.
Édition:1st ed. 2014.
Collection:Nonlinear Systems and Complexity, 9
Sujets:
Dynamics.
Nonlinear theories.
Artificial intelligence.
Biomedical engineering.
Differential equations.
Neural networks (Computer science) .
Applied Dynamical Systems.
Artificial Intelligence.
Biomedical Engineering and Bioengineering.
Differential Equations.
Mathematical Models of Cognitive Processes and Neural Networks.
Accès en ligne:Texto Completo
Table des matières:
  • Introduction
  • Differential Equations with Piecewise Constant Argument of Generalized Type
  • Impulsive Differential Equations
  • Periodic Motions and Equilibria of Neural Networks with Piecewise Constant Argument
  • Equilibria of Neural Networks with Impact Activation and Piecewise Constant Argument
  • Periodic Motions of Neural Networks with Impact Activation and Piecewise Constant Argument
  • The Method of Lyapunov Functions: RNNs
  • The Lyapunov-Razumikhin Method: CNNs.

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