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Neural Networks and Learning Machines (Hardcover)

Author: Haykin, Simon

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Product Overview

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.

Specifications

Publisher Prentice Hall
Mfg Part# 9780131471399
SKU 204416035
Format Hardcover
ISBN10 0131471392
Release Date 11/14/2008
Product Attributes
eBooks Kobo
Book Format Hardcover
Edition 0003
Number of Pages 0906
Publisher Prentice Hall
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