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Haykin, Simon

Kalman Filtering and Neural Networks

€ 185.95

Kalman filtering is a well established topic in the field of control and signal processing and represents by far the most refined method for the design of neural networks. This book takes a nontraditional nonlinear approach and reflects the fact that most practical applications are nonlinear.


Taal / Language : English

Inhoudsopgave:
Preface.

Contributors.

Kalman Filters (S. Haykin).

Parameter Based Kalman Filter Training: Theory and Implementaion (G. Puskorius and L. Feldkamp).

Learning Shape and Motion from Image Sequences (G. Patel, et al.).

Chaotic Dynamics (G. Patel and S. Haykin).

Dual Extended Kalman Filter Methods (E. Wan and A. Nelson).

Learning Nonlinear Dynamical System Using the Expectation Maximization Algorithm (S. Roweis and Z. Ghahramani).

The Unscencted Kalman Filter (E. Wan and R. van der Merwe).

Index.
Extra informatie: 
Hardback
284 pagina's
Januari 2001
539 gram
245 x 161 x 13 mm
Wiley-Blackwell us

Levertijd: 5 tot 11 werkdagen