Neural Networks And Qualitative Physics
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Neural Networks and Qualitative Physics
Author | : Jean-Pierre Aubin |
Publisher | : Cambridge University Press |
Total Pages | : 306 |
Release | : 1996-03-29 |
Genre | : Computers |
ISBN | : 9780521445320 |
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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, 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.
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