Machine learningTime-series forecasting
LightTS：面向多变量时间序列预测的轻量级采样MLP
LightTS 是由 Tianping Zhang 及其同事于 2022 年提出的一种轻量级、基于 MLP 的多变量时间序列预测架构。受简单模型可媲美甚至超越大型 Transformer 架构的观察启发，LightTS 应用区间采样策略将长输入序列分解为多个子序列，并使用紧凑的 Chunk-MLP 和 Continuous-MLP 模块分别处理。该设计在保持局部和全局时间模式的同时，优先考虑计算效率。
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来源
- Zhang, T., Zhang, Y., Cao, W., Bian, J., Yi, X., Zheng, S., & Li, J. (2022). Less is more: Fast multivariate time series forecasting with light sampling-oriented MLP structures. arXiv preprint. link ↗
如何引用本页
ScholarGate. (2026, June 2). LightTS (Light Sampling-oriented MLP). ScholarGate. https://scholargate.app/zh/deep-learning/lightts
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