Online dynamic ensemble deep random vector functional link neural network for forecasting
This paper proposes a three-stage online deep learning model for time series based on the ensemble deep random vector functional link (edRVFL). The edRVFL stacks multiple randomized layers to enhance the single-layer RVFL's representation ability. Each hidden layer's representation is util...
Hauptverfasser: | , , , , |
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Format: | Journal Article |
Sprache: | English |
Veröffentlicht: |
2024
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Online Zugang: | https://hdl.handle.net/10356/174180 |