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http://localhost:8080/xmlui/handle/123456789/131123| 標題: | Recurrent Neural Networks for Temporal Data Processing |
| 作者: | Hubert Cardot |
| 公開日期: | 2011 |
| 出版社: | InTech |
| 摘要: | 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. |
| 連結: | http://www.intechopen.com/books/recurrent-neural-networks-for-temporal-data-processing |
| 關鍵字: | Computer and Information Science; Numerical Analysis and Scientific Computing |
| ISBN: | 978-953-307-685-0 |
| 主題: | 教科書-自然科學類 |
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