£115.99

Wiley Kalman Filtering and Neural Networks - Technical Book

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Description

Master the integration of signal processing and machine learning with Kalman Filtering and Neural Networks. Published by Wiley, this technical volume provides state-of-the-art coverage of Kalman filter methods specifically designed for neural network applications. While many traditional approaches focus on linear models, this book addresses the reality of nonlinear problems found in modern engineering and data science. This self-contained resource is organized into seven chapters written by expert contributors. It serves as a comprehensive guide for professionals and students working in adaptive and cognitive dynamic systems. You will find detailed discussions on the training and use of neural networks through the lens of Kalman filtering, making it a valuable addition to your library for signal processing, communications, and control studies.

Key Features

Comprehensive coverage of Kalman filter methods for the design and training of neural networks.

Expert insights from seven chapters written by specialized contributors in the field.

Advanced focus on nonlinear problems to address real-world application challenges.

Detailed theoretical foundations including Rauch-Tung-Striebel smoother and extended Kalman filters.

Specialized content for adaptive and cognitive dynamic systems and signal processing.

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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