Non-Fiction Books:

Neural Networks and Qualitative Physics

A Viability Approach
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Hardback
$400.00
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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.
Release date NZ
March 29th, 1996
Audience
  • Professional & Vocational
Pages
302
Dimensions
160x237x19
ISBN-13
9780521445320
Product ID
1976324

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