Kalman Filtering and Neural Networks Book

Name: Kalman Filtering and Neural Networks, Kalman filtering is a well-
Brand: Wiley
SKU: 9780471369981
Price: 122.38 USD
Availability: InStock
Rating: 4 (2 reviews)

2 Ratings

Kalman Filtering and Neural Networks, 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, Kalman Filtering and Neural Networks

4 out of 5 stars based on 2 reviews

Kalman Filtering and Neural Networks
Written by author Simon Haykin
Published by Wiley, John & Sons, Incorporated, October 2001
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
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. Although

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Book Categories

Authors

Preface
Contributors
1 Kalman Filters
2 Parameter-Based Kalman Filter Training: Theory and Implementation
3 Learning Shape and Motion from Image Sequences
4 Chaotic Dynamics
5 Dual Extended Kalman Filter Methods
6 Learning Nonlinear Dynamical System Using the Expectation-Maximization Algorithm
7 The Unscented Kalman Filter
Index

Title: Kalman Filtering and Neural Networks

Manufacturer:

Wiley

Item Number: 9780471369981

Publication Date: October 2001

Number: 1

Product Description: Kalman Filtering and Neural Networks

Universal Product Code (UPC): 9780471369981

WonderClub Stock Keeping Unit (WSKU): 9780471369981

Rating: 4/5 based on 2 Reviews

Image Location: https://wonderclub.com/images/covers/99/81/9780471369981.jpg

Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 6.360 cm (2.50 inches)

Heigh : 9.670 cm (3.81 inches)

Depth: 0.760 cm (0.30 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

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$122.38	Digital	Arrives between May 5 - Jun 4 Login to your account for a direct download. Some files are emailed from Dropbox. Continent $0.00 - World $0.00	WonderClub (9296 total ratings)

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Mercedes Perez-heydrich

reviewed Kalman Filtering and Neural Networks on January 21, 2021

Kalman Filtering and Neural Networks

Fascinating read but quite outdated

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Kalman Filtering and Neural Networks, 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, Kalman Filtering and Neural Networks

Add Kalman Filtering and Neural Networks, 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, Kalman Filtering and Neural Networks to the inventory that you are selling on WonderClub

Add Kalman Filtering and Neural Networks, 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, Kalman Filtering and Neural Networks to your collection on WonderClub

Kalman Filtering and Neural Networks Book

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	Preface
	Contributors
1	Kalman Filters
2	Parameter-Based Kalman Filter Training: Theory and Implementation
3	Learning Shape and Motion from Image Sequences
4	Chaotic Dynamics
5	Dual Extended Kalman Filter Methods
6	Learning Nonlinear Dynamical System Using the Expectation-Maximization Algorithm
7	The Unscented Kalman Filter
	Index