Kalman Filtering and Neural Networks, 0004th Edition, 9780471369981
Hardcover
Kalman filtering is a well-established topic in the field of control and signal processing and represents by far the most refined method for the design of neural networks. This book takes a nontraditional nonlinear approach and reflects the fact that most practical applications are nonlinear.

$427.76

  • Hardcover

    304 pages

  • Release Date

    23 September 2001

Check Delivery Options

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
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.

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.