Kalman filtering and 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 ar...

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Bibliographic Details
Other Authors: Haykin, Simon S., 1931- (Editor)
Format: eBook
Language:English
Published: New York : Wiley, ©2001.
Series:Adaptive and learning systems for signal processing, communications, and control.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary: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.
Physical Description:1 online resource (xiii, 284 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:047146421X
9780471464211
0471221546
9780471221548
0471369985
9780471369981