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Haykin - Neural Networks and Learning Machines 3rd c2009 txtbk pdf
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Haykin - Neural Networks and Learning Machines 3rd c2009 txtbk.pdf (Size: 8.02 MB) (Files: 1)
Haykin - Neural Networks and Learning Machines 3rd c2009 txtbk.pdf
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Neural Networks and Learning Machines, 3rd Edition (c2009), textbook by Simon Haykin.
TEXTBOOK INFO: http://www.pearsonhighered.com/educator/product/9780131471399.page
MATLAB CODES + SOLUTIONS MANUAL TO COMPUTER EXPERIMENTS:
http://www.pearsonhighered.com/haykin/
BRIEF CONTENTS:
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Introduction
1. Rosenblatt’s Perceptron
2. Model Building through Regression
3. The Least-Mean-Square Algorithm
4. Multilayer Perceptrons
5. Kernel Methods and Radial-Basis Function Networks
6. Support Vector Machines
7. Regularization Theory
8. Principal-Components Analysis
9. Self-Organizing Maps
10. Information-Theoretic Learning Models
11. Stochastic Methods Rooted in Statistical Mechanics
12. Dynamic Programming
13. Neurodynamics
14. Bayseian Filtering for State Estimation of Dynamic Systems
15. Dynamically Driven Recurrent Networks
(detailed contents at Pearson website above)
FILE INFO: paginated, bookmarked, true PDF
