Machine learning
N-HiTS
N-HiTS（Neural Hierarchical Interpolation for Time Series Forecasting，由 Challu 及其同事于 2023 年提出）是一种深度神经网络预测架构，它结合了在不同采样率下运行的多个堆栈的层级预测，并通过插值将它们合并。该模型扩展了 N-BEATS，在长预测范围上实现了显著更高的准确性。
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来源
- Challu, C. et al. (2023). NHITS: Neural Hierarchical Interpolation for Time Series Forecasting. AAAI. DOI: 10.1609/aaai.v37i6.25854 ↗
- Oreshkin, B.N. et al. (2020). N-BEATS: Neural Basis Expansion Analysis for Interpretable Time Series Forecasting. ICLR. arXiv: 1905.10437 link ↗
如何引用本页
ScholarGate. (2026, June 1). Neural Hierarchical Interpolation for Time Series Forecasting. ScholarGate. https://scholargate.app/zh/deep-learning/nhits
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