Feedforward Neural Network Methodology (Information Science and Statistics) - Hardcover

Fine, Terrence L.

 
9780387987453: Feedforward Neural Network Methodology (Information Science and Statistics)

Inhaltsangabe

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.

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Críticas

 

From the reviews:

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

"...Fine must be congratulated for a coherent presentation of carefully selected material. Given the diversity of the field, this represented a serious challenge. Again, Feeforward Neural Network Methodlogy is an excellent reference for whoever wants to be brought to the frontier of research. I enthusiastically recommend it."

 

Reseña del editor

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.

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Weitere beliebte Ausgaben desselben Titels

9781475773095: Feedforward Neural Network Methodology (Information Science and Statistics)

Vorgestellte Ausgabe

ISBN 10:  1475773099 ISBN 13:  9781475773095
Verlag: Springer, 2013
Softcover