Author : Terrence L. Fine
Publisher : Springer Science & Business Media
ISBN 13 : 0387226494
Total Pages : 353 pages
Book Rating : 4.3/5 (872 download)
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 353 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.