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Neural Networks and Learning Machines

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Neural Networks and Learning Machines

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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.
Product details
Edition:
3
Number of Pages:
936
Release Date:
2008-11-18
Publication Date:
2008-11-18
Publisher:
Pearson
Languages:
Original: English
ISBN10:
0131471392
ISBN13:
9780131471399
GPSR Manufacturer Reference:
Weight:
1752 g
Height:
183 cm
Width:
238 cm
Thickness:
56 cm

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The items bear minimal signs of past use, such as light scratches or memories in the form of markings. These signs of wear give the items a charming character and tell stories of their previous owners, while not affecting their functionality.
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