Kalman filtering and neural networks
By: edited by Simon Haykin
Series: Adaptive and learning systems for signal processing, communications, and control; Adaptive and learning systems for signal processing, communications, and control
Publisher: Wiley
Published: 2001
Place of publication: New York
Language: eng
Format: [electronic resource] /
Number of pages: 284
ISBN-13: 9780471221548
Subjects: Neural networks (Computer science); Kalman filtering
Notes: "A Wiley Interscience publication."

Includes bibliographical references and index.

Electronic reproduction. Hoboken, N.J. : Wiley, 2002. System requirements: Adobe Acrobat Reader. Mode of access: World Wide Web.

s 2002 nju n s
Table of contents: title: Kalman filters / Simon Haykin; title: Parameter-based Kalman filter training : theory and implementation / Gintaras V. Puskorius and Lee A. Feldkamp; title: Learning shape and motion from image sequences / Gaurav S. Patel, Sue Becker, and Ron Racine; title: Chaotic Dynamics / Gaurav S. Patel and Simon Haykin; title: Dual extended Kalman filter methods / Eric A. Wan and Alex T. Nelson; title: Learning nonlinear dynamical systems using the expectation-maximization algorithm / Sam Roweis and Zoubin Ghahramani; title: The unscented Kalman filter / Eric A. Wan and Rudolph van der Merwe.