Neural Networks and Learning Machines (3rd Edition)

Type
Book
Authors
ISBN 10
0131471392 
ISBN 13
9780131471399 
Category
RESERVED  [ Browse Items ]
Publication Year
2009 
Publisher
Pages
936 
Subject
1. Neural networks (Computer science). 2. Adaptive filters. 
Description
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: http://www.pearsonhighered.com/haykin/   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. - from Amzon 
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