Feedforward Neural Network Methodology
Download or Read eBook Feedforward Neural Network Methodology PDF 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.
Author | : Terrence L. Fine |
Publisher | : Springer Science & Business Media |
Total Pages | : 353 |
Release | : 2006-04-06 |
ISBN-10 | : 9780387226491 |
ISBN-13 | : 0387226494 |
Rating | : 4/5 (91 Downloads) |
Book Synopsis Feedforward Neural Network Methodology by : Terrence L. Fine
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.