Neural Networks and Learning Machines: International Version

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9780131293762: Neural Networks and Learning Machines: International Version

For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science.


Neural Networks and Learning Machines, Third Edition is 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. This is ideal for professional engineers and research scientists.


Matlab codes used for the computer experiments in the text are available for download at:


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.

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From the Back Cover:

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.

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Haykin, Simon O.
ISBN 10: 0131293761 ISBN 13: 9780131293762
New Softcover Quantity Available: 5
International Edition
ABC College Bookstore
(subang jaya, SE, Malaysia)

Book Description Softcover. Book Condition: New. Paperback. Book Condition: INTERNATIONAL EDITION, brand New, International/Global Edition, NOT LOOSE LEAF VERSION,NO SOLUTION MANUAL, NO CD, NO ACCESS CARD, Soft Cover/ Paper Back written in English, Different ISBN and Cover Image from US Edition; Sometimes, the title is different from US Edition, and the exercises and homework problem are in different orders or maybe completely different than the US edition, Please email us for confirmation. Some books may show some word such as Not for Sale or Restricted in US on the cover page. However, it is absolutely legal to use in USA. Bookseller Inventory # 9780131293762

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