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Nonlinear Dynamical Systems: Feedforward Neural Network Perspectives (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) book cover by Irwin W. Sandberg, James T. Lo, Craig L. Fancourt, José C. Principe, Shigeru Katagiri, Simon Haykin
Hardcover

Nonlinear Dynamical Systems: Feedforward Neural Network Perspectives (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control)

by Irwin W. Sandberg, James T. Lo, Craig L. Fancourt, José C. Principe, Shigeru Katagiri and Simon Haykin

$178.46 / copy at 25+ copies As low as $167.96 at 1,000+Your best volume price

Hardcover · 312 pages Wiley · 2001

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About the book

Nonlinear Dynamical Systems

The first truly up-to-date look at the theory and capabilities of nonlinear dynamical systems that take the form of feedforward neural network structures
Considered one of the most important types of structures in the study of neural networks and neural-like networks, feedforward networks incorporating dynamical elements have important properties and are of use in many applications. Specializing in experiential knowledge, a neural network stores and expands its knowledge base via strikingly human routes-through a learning process and information storage involving interconnection strengths known as synaptic weights.
In Nonlinear Dynamical Systems: Feedforward Neural Network Perspectives, six leading authorities describe recent contributions to the development of an analytical basis for the understanding and use of nonlinear dynamical systems of the feedforward type, especially in the areas of control, signal processing, and time series analysis. Moving from an introductory discussion of the different aspects of feedforward neural networks, the book then addresses:
* Classification problems and the related problem of approximating dynamic nonlinear input-output maps
* The development of robust controllers and filters
* The capability of neural networks to approximate functions and dynamic systems with respect to risk-sensitive error
* Segmenting a time series
It then sheds light on the application of feedforward neural networks to speech processing, summarizing speech-related techniques, and reviewing feedforward neural networks from the viewpoint of fundamental design issues. An up-to-date and authoritative look at the ever-widening technical boundaries and influence of neural networks in dynamical systems, this volume is an indispensable resource for researchers in neural networks and a reference staple for libraries.

The book, Nonlinear Dynamical Systems: Feedforward Neural Network Perspectives (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) [Bulk, Wholesale, Quantity] ISBN#9780471349112 in Hardcover by Irwin W. Sandberg, James T. Lo, Craig L. Fancourt, José C. Principe, Shigeru Katagiri, Simon Haykin may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Wiley
Authors
Irwin W. Sandberg, James T. Lo, Craig L. Fancourt, José C. Principe, Shigeru Katagiri, Simon Haykin
Format
Hardcover
Published
Feb 21, 2001
ISBN-13
9780471349112
Pages
312
Carton quantity
36 copies
Printing
Printed on demand
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CopiesPrice per copyYou save
25 – 99 $178.46 15% off list
100 – 249 $176.36 16% off list
250 – 499 $174.26 17% off list
500 – 999 $172.16 18% off list
1,000+ $167.96 20% off list
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