9780077121891
 

Neural Networks and Learning Machines

International Version: A Comprehensive Foundation

All Categories > Computer Science > Data Communication & Networking

Authors: Simon Haykin
  • ISBN: 9780131293762
  • Price: LE 328.00
  • Special Offer Price: LE 262.40
  • Number Of Pages: 936
  • Edition: 3 Edition
  • Publication Date: 2008
  • Categories Data Communication & Networking  
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Description:

Neural Networks and Learning Machines

Third Edition

Simon Haykin

McMaster University, Canada

This third edition of a classic book presents a comprehensive treatment of neural networks and learning machines. These two pillars that are closely related. The book has been revised extensively to provide an up-to-date treatment of a subject that is continually growing in importance. Distinctive features of the book include:

• On-line learning algorithms rooted in stochastic gradient descent; small-scale and large-scale learning problems.

• Kernel methods, including support vector machines, and the representer theorem.

• Information-theoretic learning models, including copulas, independent components analysis (ICA), coherent ICA, and information bottleneck.

• Stochastic dynamic programming, including approximate and neurodynamic procedures.

• Sequential state-estimation algorithms, including Kalman and particle filters.

• Recurrent neural networks trained using sequential-state estimation algorithms.

• Insightful computer-oriented experiments.

Just as importantly, the book is written in a readable style that is Simon Haykin’s hallmark.