Kalman filtering and neural networks / 
editör; Simon Haykin. 
 - 1 online resource (xiii, 284 pages) :  illustrations. 
 - Adaptive and learning systems for signal processing, communications, and control .
<br/><br/> "A Wiley Interscience publication."  Includes index. 
<br/><br/> 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 /  Simon Haykin --  Gintaras V. Puskorius and Lee A. Feldkamp --  Gaurav S. Patel, Sue Becker, and Ron Racine --  Gaurav S. Patel and Simon Haykin --  Eric A. Wan and Alex T. Nelson --  Sam Roweis and Zoubin Ghahramani --  Eric A. Wan and Rudolph van der Merwe. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>047146421X 9780471464211 0471221546 9780471221548 0471369985 9780471369981 
<br/><br/><label>Standard No.: </label>10.1002/0471221546  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Neural networks (Computer science)<br/>Kalman filtering<br/>Kalman filtering.<br/>Neural networks (Computer science)<br/>COMPUTERS--Neural Networks.<br/>Kalman filtering.<br/>Neural networks (Computer science)
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>QA76.87  / .K35 2002EBK