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This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative physics.
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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, and set-valued analysis that plays a crucial role in qualitative analysis and simulation.
Contenuti
1. Neural networks: a control approach; 2. Pseudo-inverses and tensor products; 3. Associative memories; 4. The gradient method; 5. Nonlinear neural networks; 6. External learning algorithm of feedback controls; 7. Internal learning algorithm of feedback controls; 8. Learning processes of cognitive systems; 9. Qualitative analysis of static problems; 10. Dynamical qualitative simulation.
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Neural Networks and Qualitative Physics: A Viability Approach
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Neural Networks and Qualitative Physics: A Viability Approach
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Cambridge University Press, 2011
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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, and set-valu. Codice articolo 447217331
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Neural Networks and Qualitative Physics: A Viability Approach
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Cambridge University Press 2011-08-11, 2011
ISBN 10: 1107402840
ISBN 13: 9781107402843
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Neural Networks and Qualitative Physics (Paperback)
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Cambridge University Press, Cambridge, 2011
ISBN 10: 1107402840
ISBN 13: 9781107402843
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Paperback. Condizione: new. Paperback. 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. 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, and set-valued analysis that plays a crucial role in qualitative analysis and simulation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781107402843
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Neural Networks and Qualitative Physics : A Viability Approach
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative physics. Codice articolo 9781107402843
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