Neural Networks and Qualitative Physics: A Viability Approach - Couverture rigide

Aubin, Jean-Pierre

Couverture rigide

ISBN 10 : 0521445329 ISBN 13 : 9780521445320

Editeur : Cambridge University Press, 1996

Synopsis

This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative physics. Professor Aubin makes use of control and viability theory in neural networks and cognitive systems, regarded as dynamical systems controlled by synaptic matrices, and set-valued analysis that plays a natural and crucial role in qualitative analysis and simulation. This allows many examples of neural networks to be presented in a unified way. In addition, several results on the control of linear and nonlinear systems are used to obtain a 'learning algorithm' of pattern classification problems, such as the back-propagation formula, as well as learning algorithms of feedback regulation laws of solutions to control systems subject to state constraints. This book will be of value to anyone with an interest in neural networks and cognitive systems.

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 1996
• Langue: anglais
• ISBN 10: 0521445329
• ISBN 13: 9780521445320
• Reliure: Relié
• Nombre de pages: 302
• Coordonnées du fabricant: non disponible
• Personne responsable: Avery; https://www.avery.fr/; ; chemin des peupliers 27; Dardilly; France