Kalman Filtering and Neural Networks

Author: Simon Haykin
Edition: 1
Binding: Hardcover
ISBN: 0471369985
Publisher: Wiley-Interscience
Features:

Kalman Filtering and Neural Networks

State-of-the-art coverage of Kalman filter methods for the design of neural networksThis self-contained book consists of seven chapters by expert contributors that discuss Kalman filtering as applied to the training and use of neural networks. Search and download computer ebooks Kalman Filtering and Neural Networks for free.
author simon haykin format hardback language english publication year 12 10 2001 series adaptive and learning systems for signal processing communications and control series subject computing it subject 2 computing professional programming title kalman filtering and neural networks author simon haykin publisher wiley interscience publication date sep 01 2001 pages 284 binding hardcover dimensions 6 25 wx 9 25 hx 0 50 d isbn 0471369985 subject technology engineering electrical description kalma. Download Kalman Filtering and Neural Networks computer ebooks
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)

Kalman filtering and neural networks

Kalman filtering and neural networks: Simon S. Haykin

Wiley-Interscience 9780471369981 Kalman Filtering and Neural Networks Description 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

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author simon haykin format hardback language english publication year 12 10 2001 series adaptive and learning systems for signal processing communications and control series subject computing it subject 2 computing professional programming title kalman filtering and neural networks author simon haykin publisher wiley interscience publication date sep 01 2001 pages 284 binding hardcover dimensions 6 25 wx 9 25 hx 0 50 d isbn 0471369985 subject technology engineering electrical description kalma

Kalman Filtering and Neural Networks Free

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
Other chapters cover:An algorithm for the training of feedforward and recurrent multilayered perceptrons, based on the decoupled extended Kalman filter (DEKF)