Simon Haykin - Kalman Filtering and Neural Networks
Category: Technical
Tag: Science/Engineering
<< Buy This Book on Amazon >>
128 views since 2007-07-18.
Description
Simon S. Haykin, "Kalman Filtering and Neural Networks"
Wiley InterScience | ISBN 0471221546 (electronic) | 2001 | 284 pages | PDF | 4 MB RAR'ed
Wiley InterScience | ISBN 0471221546 (electronic) | 2001 | 284 pages | PDF | 4 MB RAR'ed
Book 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 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.
Review
"Although the traditional approach to the subject is usually linear, this book recognizes and deals with the fact that real problems are most often nonlinear." (SciTech Book News, Vol. 25, No. 4, December 2001)
$$ Buy "Simon Haykin - Kalman Filtering and Neural Networks" on Amazon $$
Search More...
Simon Haykin - Kalman Filtering and Neural NetworksLinks
Search and Buy<< Search and Buy This Book on Amazon >>
No download links here
Please check the description for download links if any or do a search to find alternative books.Can't Download?
Please search mirrors if you can't find download links for "Simon Haykin - Kalman Filtering and Neural Networks" in "Description" and someone else may update the links. Check the comments when back to find any updates.
Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.
Related Books
Books related to "Simon Haykin - Kalman Filtering and Neural Networks":
- Ebooks list page : 1121
- Simon Haykin - Kalman Filtering and Neural Networks
- [share_ebook] KALMAN FILTERING AND NEURAL NETWORKS
- [request_ebook] Neural Networks: A Comprehensive Found.
- Kalman Filtering : Theory and Practice Using MATLAB
- Kalman Filtering : Theory and Practice Using MATLAB
- Tracking and Kalman Filtering Made Easy
- Tracking and Kalman Filtering Made Easy
- Signals and Systems, Simon Haykin
- Communication Systems Simon Haykin 4th edition
- Communication Systems 4Th Edition Simon Haykin
- [request_ebook] Signals and Systems
- [share_ebook] Communications Systems 4th Edition SOLUTIONS MANUAL
- [request_ebook] Introduction to Analog and Digital Communications 2nd Edition(Solutions Manual)
- [request_ebook] Introduction to Analog and Digital Communications (Solutions Manual)
- [share_ebook] signals and systems 2ed - haykin - solutions manual
Comments
No comments for "Simon Haykin - Kalman Filtering and Neural Networks".
Add Your Comments
- Download links and password may be in the description section, read description carefully!
- Do a search to find mirrors if no download links or dead links.




