£120.80

Wiley Kalman Filtering and Neural Networks Textbook

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Description

Explore state-of-the-art coverage of Kalman filter methods for neural network design in this specialized Wiley-Interscience publication. This self-contained book features seven chapters written by expert contributors, specifically focusing on how Kalman filtering applies to the training and use of neural networks. While traditional approaches often focus on linear models, this text addresses the reality of nonlinear problems found in real-world applications. Readers will find a deep dive into basic Kalman filter theory, the Rauch-Tung-Striebel smoother, and the extended Kalman filter. This volume is an essential resource for those studying adaptive and cognitive dynamic systems, signal processing, learning, communications, and control.

Key Features

This Wiley book provides expert coverage of Kalman filter methods for designing neural networks.

The text includes seven chapters written by expert contributors to provide a comprehensive study of the subject.

Learn about the application of Kalman filtering to both the training and the practical use of neural networks.

The content addresses nonlinear problems to ensure relevance to real-world technical challenges.

Detailed chapters cover basic Kalman filter theory, the Rauch-Tung-Striebel smoother, and the extended Kalman filter.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
12 October 2001
Listed Since
09 February 2007

Barcode

No barcode data available

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