Machine learningTime-series forecasting
TSMixer：全MLP架构用于时间序列预测
TSMixer是由Google的Si-An Chen及其同事于2023年推出的一种多元时间序列预测模型。它通过证明一个简单的交替MLP层堆栈——在时间轴混合和特征通道混合之间交替——可以实现强大的预测精度，同时保持计算效率和架构易于解释性，从而挑战了Transformer架构的主导地位。
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来源
- Chen, S.-A., Li, C.-L., Yoder, N., Arik, S. O., & Pfister, T. (2023). TSMixer: An all-MLP architecture for time series forecasting. Transactions on Machine Learning Research. link ↗
如何引用本页
ScholarGate. (2026, June 2). TSMixer (All-MLP Architecture for Forecasting). ScholarGate. https://scholargate.app/zh/deep-learning/tsmixer
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