Neural networks : a comprehensive foundation [texte imprime] /
Simon Haykin, Auteur . - 2nd ed. . -
Upper Saddle River (N.J.) : Prentice Hall, cop. 1999 . - (XXI-842 p.) : ill., couv. ill. en coul. ; 24 cm.
ISBN : 978-0-13-273350-2
La page de couv. porte en plus : "International edition
Bibliogr. p. 796-836. Index
Langues : Anglais
| Mots-clés : | Neural network Learning Vapnik-chervonenkis Multilayer perceptrons Dynamical systems |
| Résumé : |
For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science.
Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective. Thoroughly revised. |
| Note de contenu : |
1. Introduction
2. Learning processes
3. Single layer perceptrons
4. Multipayer perceptrons
5. Radial-basis function networks
6. Support vector machines
7. Committee machines
8. Principal compoentns analysis
9. Self-organizing maps
10. Information-theoretic models
11. Stochastic machines and their approximates rooted in statistical mechanics
12. Neurodynamic programming
13. Temporal processing using feedforward networks
14. Neurodynamics
15. Dynamically driven recurrent networks |
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Neural networks (cop. 1999)
