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Kalman Filtering and Neural Networks

Simon Haykin · 2001

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About the book

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.

Book details

Year
2001
Language
English
Publisher
Wiley-Interscience
Editions
1
Pages
304
ISBN
9780471369981

Data source: Wikidata

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