UID:
almafu_9959328595602883
Umfang:
1 online resource (xiii, 284 pages) :
,
illustrations
ISBN:
047146421X
,
9780471464211
,
0471221546
,
9780471221548
,
0471369985
,
9780471369981
Serie:
Adaptive and learning systems for signal processing, communications, and control
Inhalt:
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.
Anmerkung:
Kalman filters /
,
Parameter-based Kalman filter training : theory and implementation /
,
Learning shape and motion from image sequences /
,
Chaotic Dynamics /
,
Dual extended Kalman filter methods /
,
Learning nonlinear dynamical systems using the expectation-maximization algorithm /
,
The unscented Kalman filter /
Weitere Ausg.:
Print version: Kalman filtering and neural networks. New York : Wiley, ©2001 ISBN 0471369985
Sprache:
Englisch
Schlagwort(e):
Electronic books.
;
Electronic books.
;
Electronic books.
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471221546
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471221546
URL:
https://onlinelibrary.wiley.com/doi/book/10.1002/0471221546
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