
Kalman Filtering and Neural Networks, 0004th Edition
$427.76
- Hardcover
304 pages
- Release Date
23 September 2001
Summary
State-of-the-art coverage of Kalman filter methods for the design of neural networks
This self-contained book consists of seven chapters by expert contributors that discuss Kalman filtering as applied to the training and use of neural networks. Although the traditional approach to the subject is almost always linear, this book recognizes and deals with the fact that real problems are most often nonlinear.
The first chapter offers an introductory treatment of Kalman filters with an e…
Book Details
| ISBN-13: | 9780471369981 |
|---|---|
| ISBN-10: | 0471369985 |
| Author: | Simon Haykin |
| Publisher: | John Wiley & Sons Inc |
| Imprint: | Wiley-Interscience |
| Format: | Hardcover |
| Number of Pages: | 304 |
| Edition: | 0004th |
| Release Date: | 23 September 2001 |
| Weight: | 544g |
| Dimensions: | 246mm x 162mm x 19mm |
| Series: | Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control |
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What They're Saying
Critics Review
“Although the traditional approach to the subject is usually linear, this book recognizes and deals with the fact that real problems are most often nonlinear.” (SciTech Book News, Vol. 25, No. 4, December 2001)
About The Author
Simon Haykin
SIMON HAYKIN, PhD, is Professor of Electrical Engineering at the Communication Research Laboratory of McMaster University in Hamilton, Ontario, Canada.
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