Feedforward Neural Network Methodology - Terrence L Fine
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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 feedf ... Full description
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Description
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.
More Information
| Author | Terrence L Fine |
|---|---|
| Publisher | Springer New York |
| Release year | 1999 |
| Cover type | Hardcover |
| EAN | 9780387987453 |