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Robert J Marks
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Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.001.0001
EISBN: 9780262282215
Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks called multilayer perceptrons (MLP). These are the mostly widely used neural networks, with applications as diverse as finance (forecasting), manufacturing (process control), and science (speech and image recognition). This book presents an extensive and practical overview of almost every aspect of MLP methodology, progressing from an initial discussion of what MLPs are and how they might be used to an in-depth examination of technical factors affecting performance. The book can be used as a tool kit by readers interested in applying networks to specific problems, yet it also presents theory and references outlining the last ten years of MLP research.
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0011
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0012
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0013
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0014
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0015
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0016
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0017
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0018
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0019
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0020
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0021
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0022
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0023
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0024
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0001
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0002
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0003
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0004
EISBN: 9780262282215
Publisher: The MIT Press
Published: 17 February 1999
DOI: 10.7551/mitpress/4937.003.0005
EISBN: 9780262282215