Kalman filtering and neural networks; Simon Haykin; 2001
Kalman filtering and neural networks; Simon Haykin; 2001

Kalman filtering and neural networksUpplaga 1

av Simon Haykin

  • Upplaga: 1a upplagan
  • Utgiven: 2001
  • ISBN: 9780471369981
  • Sidor: 304 st
  • Förlag: John Wiley And Sons Ltd
  • Format: Inbunden
  • Språk: Engelska

Om boken

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:* An algorithm for the training of feedforward and recurrent multilayered perceptrons, based on the decoupled extended Kalman filter (DEKF)* Applications of the DEKF learning algorithm to the study of image sequences and the dynamic reconstruction of chaotic processes* The dual estimation problem* Stochastic nonlinear dynamics: the expectation-maximization (EM) algorithm and the extended Kalman smoothing (EKS) algorithm* The unscented Kalman filter 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. An Instructor's Manual presenting detailed solutions to all the problems in the book is available upon request from the Wiley Makerting Department.

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Mer om Kalman filtering and neural networks (2001)

I oktober 2001 släpptes boken Kalman filtering and neural networks skriven av Simon Haykin. Det är den 1a upplagan av kursboken. Den är skriven på engelska och består av 304 sidor djupgående information om data. Förlaget bakom boken är John Wiley And Sons Ltd.

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Referera till Kalman filtering and neural networks (Upplaga 1)

Harvard

Haykin, S. (2001). Kalman filtering and neural networks. 1:a uppl. John Wiley And Sons Ltd.

Oxford

Haykin, Simon, Kalman filtering and neural networks, 1 uppl. (John Wiley And Sons Ltd, 2001).

APA

Haykin, S. (2001). Kalman filtering and neural networks (1:a uppl.). John Wiley And Sons Ltd.

Vancouver

Haykin S. Kalman filtering and neural networks. 1:a uppl. John Wiley And Sons Ltd; 2001.