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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Akhmet, Marat (Autor), Yılmaz, Enes (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Nonlinear Systems and Complexity, 9
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.