Information-aware attention dynamic synergetic network for multivariate time series long-term forecasting
Multivariate time series forecasting is widely used in a variety of fields, such as cyber-physical systems and financial market analysis. Recently, attention-based recurrent neural networks (RNNs) have been paid attention by scholars for its ability to reduce the accumulative errors. Although attent...
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Published in | Neurocomputing (Amsterdam) Vol. 500; pp. 143 - 154 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
21.08.2022
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Subjects | |
Online Access | Get full text |
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