An edition of Feedforward neural network methodology
(1999)
Feedforward Neural Network Methodology (Springer Series in Statistics)
by Terrence L. Fine
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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.
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| Edition | Availability |
|---|---|
1
Feedforward Neural Network Methodology
2006, Springer London, Limited
in English
0387226494 9780387226491
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2
Feedforward Neural Network Methodology (Springer Series in Statistics)
June 11, 1999, Springer
in English
0387987452 9780387987453
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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."
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- Created April 29, 2008
- 14 revisions
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| 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 |