TY  - BOOK
AU  - Haykin,Simon S.
AU  - 
AU  - Haykin,Simon S.
TI  - Neural Networks and Learning Machines
SN  - 9780131471399
U1  - 006.32 
PY  - 2026///
CY  - Noida
PB  - Pearson India Education Services Pvt. Ltd.
KW  - Computer Science
KW  - AI
KW  - Artificial Intelligence
KW  - Neural networks (Computer science)
KW  - Adaptive filters
N1  - Rev. ed of: Neural networks. 2nd ed., c1999; Includes bibliographical references (p. 847-887) and index; Chapter 1 Rosenblatt's Perceptron


Chapter 2 Model Building through Regression


Chapter 3 The Least-Mean-Square Algorithm


Chapter 4 Multilayer Perceptrons


Chapter 5 Kernel Methods 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
N2  - Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently
UR  - http://www.loc.gov/catdir/toc/ecip0824/2008034079.html
ER  -