Feedforward Neural Network Methodology (Springer Series in Statistics)
Terrence L. Fine
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.
Catégories:
Année:
1999
Edition:
1
Langue:
english
Pages:
357
ISBN 10:
0387987452
ISBN 13:
9780387987453
Fichier:
PDF, 2.15 MB
IPFS:
,
english, 1999