N-BEATSx
N-BEATSx er en udvidelse af den neurale tidsserie-prognosemodel N-BEATS, der inkorporerer eksogene (eksterne) variable via en cross-learner-arkitektur. N-BEATSx, udgivet i 2023, forbedrer N-BEATS ved at gøre modellen i stand til at udnytte yderligere features ud over historiske tidsserieværdier.
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Method map
The neighbourhood of related methods — select a node to explore.
Kilder
- Challu, C., Olivares, K. Q., Oreshkin, B., Garza, F., Mergenthaler-Canseco, M., & Dubrawski, A. (2023). N-BEATSx: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting. In ICLR 2023 Workshop on Multimodal Learning for Science (p. 4). link ↗
Sådan citerer du denne side
ScholarGate. (2026, June 3). N-BEATSx: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting. ScholarGate. https://scholargate.app/da/deep-learning/n-beatsx
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Mamba (State Space Model)Dyb læring↔ compare
- Rumlig-tidslige graf-konvolutionelle netværkDyb læring↔ compare
- TimeGPTDyb læring↔ compare
- Vision MambaDyb læring↔ compare
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