方法证据记录
DLinear
DLinear is a lightweight time series forecasting model introduced by Zeng et al. at AAAI 2023. It challenges the prevailing assumption that Transformer-based architectures are necessary for accurate long-horizon forecasting. The model decomposes an input sequence into trend and seasonal components using a moving average filter, then applies separate single-layer linear transformations to each component before summing their outputs to produce the final forecast.
源记录
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DLinear (Decomposition Linear Model for Forecasting)
分类方法记录 · ml-model / deep-learning
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