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Feedforward Neural Network Methodology (Springer Series in Statistics) PDF

357 Pages·1999·2.146 MB·English
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by Terrence L. Fine| 1999| 357 pages| 2.146| English

About Feedforward Neural Network Methodology (Springer Series in Statistics)

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.

Detailed Information

Author:Terrence L. Fine
Publication Year:1999
ISBN:9780387226491
Pages:357
Language:English
File Size:2.146
Format:PDF
Price:FREE
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