Neural Networks

A Comprehensive Foundation: United States Edition

Simon O. Haykin (Autor)

Buch | Hardcover

842 Seiten

1998 | 2nd edition
Pearson (Verlag)
978-0-13-273350-2 (ISBN)

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Neural Networks and Learning Machines

Simon Haykin

2009

Buch | Hardcover

219, ⁹⁵ €

zur Neuauflage

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

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.

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 & Their Approximates Rooted in Statistical Mechanics.

12. Neurodynamic Programming.

13. Temporal Processing Using Feedforward Networks.

14. Neurodynamics.

15. Dynamically Driven Recurrent Networks.

Epilogue.

Bibliography.

Index.

Erscheint lt. Verlag	7.8.1998
Sprache	englisch
Maße	181 x 244 mm
Gewicht	1382 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-10	0-13-273350-1 / 0132733501
ISBN-13	978-0-13-273350-2 / 9780132733502
Zustand	Neuware