Feedforward Neural Network Methodology

Feedforward Neural Network Methodology
Author :
Publisher : Springer Science & Business Media
Total Pages : 340
Release :
ISBN-10 : 9780387226491
ISBN-13 : 0387226494
Rating : 4/5 (494 Downloads)

Book Synopsis Feedforward Neural Network Methodology by : Terrence L. Fine

Download or read book Feedforward Neural Network Methodology written by Terrence L. Fine and published by Springer Science & Business Media. This book was released on 2006-04-06 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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