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| Preface | ||
| List of Figures | ||
| 1 | Background and Organization | 1 |
| 2 | Perceptrons - Networks with a Single Node | 17 |
| 3 | Feedforward Networks I: Generalities and LTU Nodes | 53 |
| 4 | Feedforward Networks II: Real-Valued Nodes | 81 |
| 5 | Algorithms for Designing Feedforward Networks | 129 |
| 6 | Architecture Selection and Penalty Terms | 203 |
| 7 | Generalization and Learning | 235 |
| A Note on Use as a Text | 285 | |
| References | 309 | |
| Index | 329 |
| Price | Condition | Delivery | Seller | Action |
| $102.51 | Digital |
| WonderClub |
Stephen Calabretta
reviewed Feedforward Neural Network Methodology on July 18, 2008 Feedforward Neural Network Methodology
Fascinating read but quite outdated
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Add Feedforward Neural Network Methodology, 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 physica, Feedforward Neural Network Methodology to your collection on WonderClub |
