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Feedforward Neural Network Methodology - Information Science and Statistics T.l. Fine Softcover Reprint of the Original 1st Ed. 1999 edition
Feedforward Neural Network Methodology - Information Science and Statistics
T.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.
340 pages, 5 black & white illustrations, biography
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | April 23, 2013 |
| ISBN13 | 9781475773095 |
| Publishers | Springer-Verlag New York Inc. |
| Pages | 340 |
| Dimensions | 155 × 235 × 19 mm · 503 g |
| Language | English |