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Neural Networks and Qualitative Physics
A Viability Approach
Jean-Pierre Aubin
Livre broché | Anglais
111,45 €
+ 222 points
Format
Description
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.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 302
- Langue:
- Anglais
Caractéristiques
- EAN:
- 9781107402843
- Date de parution :
- 11-08-11
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 152 mm x 229 mm
- Poids :
- 403 g
Seulement chez Librairie Club
+ 222 points sur votre carte client de Librairie Club
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