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Recurrent Neural Networks for Temporal Data Processing Hubert Cardot
Recurrent Neural Networks for Temporal Data Processing
Hubert Cardot
The RNNs (Recurrent Neural Networks) are a general case of artificial neural networks where the connections are not feed-forward ones only. In RNNs, connections between units form directed cycles, providing an implicit internal memory. Those RNNs are adapted to problems dealing with signals evolving through time. Their internal memory gives them the ability to naturally take time into account. Valuable approximation results have been obtained for dynamical systems.
114 pages
| Mídia | Livros Hardcover Book (Livro com lombada e capa dura) |
| Lançado | 9 de fevereiro de 2011 |
| ISBN13 | 9789533076850 |
| Editoras | In Tech |
| Páginas | 114 |
| Dimensões | 180 × 260 × 8 mm · 390 g |
| Idioma | Inglês |
| Editor | Cardot, Hubert |