Feedforward Neural Network Methodology (Springer Series in Statistics)

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March 28, 2025 | History

Feedforward Neural Network Methodology (Springer Series in Statistics)

This monograph provides a through and coherent introduction to the mathematical properties of feedforward neural networks and to the computationally intensive methodology that has enabled their highly successful application to complex problems of pattern classification, forecasting, regression, and nonlinear systems modeling.

Publish Date
Publisher
Springer
Language
English
Pages
340

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Edition Availability
Cover of: Feedforward Neural Network Methodology
Feedforward Neural Network Methodology
2006, Springer London, Limited
in English
Cover of: Feedforward Neural Network Methodology (Springer Series in Statistics)
Feedforward Neural Network Methodology (Springer Series in Statistics)
June 11, 1999, Springer
in English

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Book Details


First Sentence

"The study of neural networks originated in attempts to understand and construct mathematical models for neurobiology and cognitive psychology, and their current development continues to shed lieht in these areas."

Classifications

Library of Congress
QA76.87 .F56 1999, QA75.5-76.95

Edition Identifiers

Open Library
OL7449786M
ISBN 10
0387987452
ISBN 13
9780387987453
LCCN
98053188
OCLC/WorldCat
40489187
LibraryThing
6329017
Goodreads
3803443

Work Identifiers

Work ID
OL16927961W

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
March 28, 2025 Edited by ImportBot Redacting ocaids
July 16, 2024 Edited by MARC Bot import existing book
December 19, 2023 Edited by ImportBot import existing book
June 22, 2023 Edited by ImportBot import existing book
April 29, 2008 Created by an anonymous user Imported from amazon.com record