Neural Networks and Qualitative Physics: A Viability Approachby Jean-Pierre Aubin
This 1996 book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative physics.See more details below
This 1996 book is devoted to some mathematical methods that arise in two domains of artificial intelligence: neural networks and qualitative physics.
- Cambridge University Press
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- Edition description:
- Product dimensions:
- 6.00(w) x 8.90(h) x 0.70(d)
Table of Contents
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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