Lavoisier S.A.S.
14 rue de Provigny
94236 Cachan cedex
FRANCE

Heures d'ouverture 08h30-12h30/13h30-17h30
Tél.: +33 (0)1 47 40 67 00
Fax: +33 (0)1 47 40 67 02


Url canonique : www.lavoisier.fr/livre/informatique/neural-networks-with-discontinuous-impact-activations/akhmet/descriptif_2790744
Url courte ou permalien : www.lavoisier.fr/livre/notice.asp?ouvrage=2790744

Neural Networks with Discontinuous/Impact Activations, Softcover reprint of the original 1st ed. 2014 Nonlinear Systems and Complexity Series, Vol. 9

Langue : Anglais

Auteurs :

Couverture de l’ouvrage 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 involve discontinuities, which are natural because huge velocities and short distances are usually observed in devices modeling the networks. A discussion of the models, appropriate for the proposed applications, is also provided. This book also: Explores questions related to the biological underpinning for models of neural networks\ Considers neural networks modeling using differential equations with impulsive and piecewise constant argument discontinuities Provides all necessary mathematical basics for application to the theory of neural networks Neural Networks with Discontinuous/Impact Activations is an ideal book for researchers and professionals in the field of engineering mathematics that have an interest in applying these systems to computational problems.

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.

Explores questions related to the biological underpinning for models of neural networks
Considers neural networks modeling using differential equations with impulsive and piecewise constant argument discontinuities
Provides all necessary mathematical basics for application to the theory of neural networks

Date de parution :

Ouvrage de 168 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 118,31 €

Ajouter au panier

Date de parution :

Ouvrage de 168 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 137,14 €

Ajouter au panier
En continuant à naviguer, vous autorisez Lavoisier à déposer des cookies à des fins de mesure d'audience. Pour en savoir plus et paramétrer les cookies, rendez-vous sur la page Confidentialité & Sécurité.
FERMER