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Neural networks and learning machines

Author: Simon S Haykin
Publisher: New York : Prentice Hall/Pearson, ©2009.
Edition/Format:   Print book : Biography : English : 3rd edView all editions and formats
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Material Type: Biography, Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Simon S Haykin
ISBN: 9780131471399 0131471392
OCLC Number: 237325326
Notes: Revised edition of: Neural networks. 2nd ed., c1999.
Description: xxx, 906 pages : illustrations (some color) ; 24 cm
Contents: Preface-Introduction --
Chapter 1: Rosenblatt's Perceptron --
Chapter 2: Model Building through Regression-Chapter 3-The Least-Mean-Square-Algorithm --
Chapter 4 Multilayer Perceptrons-Chapter 5: Kernal Merhods and Radial Basis Function Networks --
Chapter 6 Support Vector Machines --
Chapter 7 Regularization Theory --
Chapter 8 Principal-Components Analysis --
Chapter 9 Self-Organizing Maps --
Chapter 10 Information-Theoretic Learning Models --
Chapter 11 Stochastic Methods Rooted in Statistical Mechanics --
Chapter 12 Dynamic Programming --
Chapter 13 Neurodynamics --
Chapter 14 Bayseian Filtering for State Estimation of Dynamic Systems --
Chapter 15 Dynamically Driven Recurrent Networks -Bibliography --
Index 889.
Responsibility: Simon Haykin.
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