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一致性规范化为少数镜头的多变量时间序列预测.

Yumei She1,2, Yi Hong3, Shikai Shen4,5

  • 1School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, 650504, China.

Scientific reports
|April 24, 2025
PubMed
概括

本研究引入了一种用于多变量时间序列预测的新算法,通过时间频率挖掘和一致性规范化增强数据,以提高预测准确性和模型通用性,用于现实世界的应用.

关键词:
一致性规范化规范化有几次射击学习学习.多变量时间序列预测.时间频率采矿时间频率采矿

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