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Wiley Nonlinear Dynamical Systems - Feedforward Neural Networks

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Description

Explore the theory and capabilities of nonlinear dynamical systems through the lens of feedforward neural network structures. This volume provides an up-to-date perspective on one of the most significant types of structures in the study of neural and neural-like networks. By incorporating dynamical elements, these feedforward networks possess unique properties that make them highly useful across many different applications. This text examines how neural networks specialize in experiential knowledge. It explains how these systems store and expand their knowledge bases using methods that resemble human processes. Through a dedicated learning process and information storage involving interconnection strengths, these networks function as complex, adaptive systems. This book is an essential resource for those studying signal processing, learning, communications, and control within the context of adaptive and cognitive dynamic systems.

Key Features

Provides an up-to-date look at the theory and capabilities of nonlinear dynamical systems using feedforward neural network structures.

Covers important properties of feedforward networks that incorporate dynamical elements for use in various applications.

Explains how neural networks store and expand knowledge bases through learning processes and interconnection strengths.

Focuses on the study of neural-like networks and their role in adaptive and cognitive dynamic systems.

Connects theoretical frameworks to practical fields like signal processing, communications, and control.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
23 January 2001
Listed Since
15 December 2006

Barcode

No barcode data available

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