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Neural networks : a comprehensive foundation

Author: Simon S Haykin
Publisher: Upper Saddle River, N.J. : Prentice Hall, ©1999.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Summary:

Introducing students to the many facets of neural networks, this text provides many case studies to illustrate their real-life, practical applications.

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Additional Physical Format: Online version:
Haykin, Simon S., 1931-
Neural networks.
Upper Saddle River, N.J. : Prentice Hall, ©1999
(OCoLC)767546880
Document Type: Book
All Authors / Contributors: Simon S Haykin
ISBN: 0132733501 9780132733502 0139083855 9780139083853
OCLC Number: 38908586
Description: xxi, 842 pages : illustrations ; 25 cm
Contents: 1. Introduction --
2. Learning Processes --
3. Single Layer Perceptrons --
4. Multilayer Perceptrons --
5. Radial-Basis Function Networks --
6. Support Vector Machines --
7. Committee Machines --
8. Principal Components 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.
Responsibility: Simon Haykin.

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