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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 Wiley publication provides an up-to-date look at one of the most important types of structures used in the study of neural and neural-like networks. Feedforward networks that incorporate dynamical elements possess unique properties useful across many applications. By specializing in experiential knowledge, these networks store and expand their knowledge base through a learning process and information storage involving interconnection strengths. This text is part of the Adaptive and Cognitive Dynamic Systems series, focusing on signal processing, learning, communications, and control.

Key Features

This Wiley book examines the theory and capabilities of nonlinear dynamical systems in feedforward neural network structures.

Learn how feedforward networks incorporating dynamical elements provide important properties for various technical applications.

Study how neural networks expand their knowledge base through human-like learning processes and information storage.

Explore interconnection strengths used by neural-like networks to manage and expand experiential knowledge.

Part of the Adaptive and Cognitive Dynamic Systems series covering signal processing, learning, 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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