Feedforward Neural Network Methodology (Paperback, Softcover reprint of the original 1st ed. 1999)

This decade has seen an explosive growth in computational speed and memory and a rapid enrichment in our understanding of artificial neural networks. These two factors provide systems engineers and statisticians with the ability to build models of physical, economic, and information-based time series and signals. This book provides a thorough and coherent introduction to the mathematical properties of feedforward neural networks and to the intensive methodology which has enabled their highly successful application to complex problems.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Information Science and Statistics
Release date:	April 2013
First published:	1999
Authors:	Terrence L Fine
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Paperback
Pages:	340
Edition:	Softcover reprint of the original 1st ed. 1999
ISBN-13:	978-1-4757-7309-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Science & Mathematics > Physics > General Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Applied mathematics > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	1-4757-7309-9
Barcode:	9781475773095

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