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Neural smithing :supervised learning in feedforward artificial neural networks

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"A Bradford book.""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 perceptions (MLP). These are the most 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."--Jacket.OCLC-licensed vendor bibliographic record.

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Detail Information

Series Title

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Call Number

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Publisher

Cambridge, Mass. : : MIT Press,., 1999

Collation

1 online resource (viii, 346 pages) :illustrations

Language

English

ISBN/ISSN

9780262282215

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

NEURAL NETWORKS (COMPUTER SCIENCE)

Specific Detail Info

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Statement of Responsibility

Russell D. Reed and Robert J. Marks II.

Other Information

Cataloger

Kholif Basri

Source

https://doi.org/10.7551/mitpress/4937.001.0001

Validator

Kholif Basri

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