Neural Networks and Learning Machines, 3rd Edition
a comprehensive foundation
$785.93
- Hardcover
936 pages
- Release Date
5 March 2009
Summary
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 c…
Book Details
| ISBN-13: | 9780131471399 |
|---|---|
| ISBN-10: | 0131471392 |
| Author: | Simon Haykin |
| Publisher: | Pearson Education (US) |
| Imprint: | Pearson |
| Format: | Hardcover |
| Number of Pages: | 936 |
| Edition: | 3rd |
| Release Date: | 5 March 2009 |
| Weight: | 1.35kg |
| Dimensions: | 238mm x 188mm x 35mm |
You Can Find This Book In
About The Author
Simon Haykin
SIMON HAYKIN, PhD, is Distinguished University Professor in the Department of Electrical and Computer Engineering at McMaster University. He has pioneered signal-processing techniques and systems for radar and communication applications, and authored several acclaimed textbooks. Dr. Haykin has received numerous awards for his research including Honorary Doctor of Technical Sciences from ETH Zurich, Switzerland, and the first International Union of Radio Science Henry Booker Gold Medal.
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.