Kalman Filtering and Neural Networks Contributor(s): Haykin, Simon (Author) |
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ISBN: 0471369985 ISBN-13: 9780471369981 Publisher: Wiley-Interscience OUR PRICE: $172.85 Product Type: Hardcover - Other Formats Published: October 2001 Annotation: 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 emphasis on basic Kalman filter theory, Rauch-Tung-Striebel smoother, and the extended Kalman filter. Other chapters cover:
Each chapter, with the exception of the introduction, includes illustrative applications of the learning algorithms described here, some of which involve the use of simulated and real-life data. Kalman Filtering and Neural Networks serves as an expert resource for researchers in neural networks and nonlinear dynamical systems. |
Additional Information |
BISAC Categories: - Technology & Engineering | Electrical - Computers | Neural Networks |
Dewey: 006.32 |
LCCN: 2001049240 |
Series: Adaptive and Cognitive Dynamic Systems: Signal Processing, L |
Physical Information: 0.77" H x 6.36" W x 9.54" (1.20 lbs) 304 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Die Kalman-Filterung ist ein wichtiges Spezialgebiet der Steuerungstechnik und Signalverarbeitung und die höchstentwickelte Methode für das Design neuronaler Netze. Der unkonventionelle, nichtlineare Ansatz trägt der Tatsache Rechnung, dass in der Praxis meist nichtlineare Probleme von Bedeutung sind. Besprochen werden wichtige Anwendungen, zum Beispiel aus der Steuerungstechnik und der Finanzmathematik. |