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Fine, Terrence L.Feedforward Neural Network Methodology
Gebunden, Springer, Berlin (1999)
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The decade prior to publication has seen an explosive growth in com- tational speed and memory and a rapid enrichment in our understa- ing of arti?cial neural networks. These two factors have cooperated to at last provide systems engineers and statisticians with a working, prac- cal, and successful ability to routinely make accurate complex, nonlinear models of such ill-understood phenomena as physical, economic, social, and information-based time series and signals and of the patterns h- den i ...

Terrence L. Fine
Operations Research

DETAILS

Feedforward Neural Network Methodology

Fine, Terrence L.

Gebunden, xvi, 340 S.

XVI, 340 p.

Sprache: Englisch

235 mm

ISBN-13: 978-0-387-98745-3

Titelnr.: 94775362

Gewicht: 730 g

Springer, Berlin (1999)

Herstelleradresse

Springer Heidelberg

Tiergartenstr. 17

69121 - DE Heidelberg

E-Mail: buchhandel-buch@springer.com

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