Kalman filtering and neural networks
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Author
Contributions
- Haykin, Simon S., 1931- - Contributor
Publication
2001 - Wiley, New York, New York (State)
Language
English
Word Count
71,000 words, Guess
Page Count
284 pages
Identifiers
- Open LibraryOL17027512M
- ISBN-100471369985
- OCLC Control Number52366672
- OCLC Control Number47658960
- OCLC Control Numberkalmanfilteringn00hayk
and 3 more
- Library of Congress Control Number2001049240
- Goodreads589006
- LibraryThing4570059
Classifications
- LCCQA76.87 .K35 2001
Description
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.
Subjects
Topics
Series Statement
- Adaptive and learning systems for signal processing, communications, and control
Other Editions
- Kalman filtering and neural networks
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