Machine learningTime-series forecasting
MICN：用于长期时间序列预测的多尺度等距卷积网络
MICN（多尺度等距卷积网络）是Huiqiang Wang及其同事在ICLR 2023上提出的一种用于长期时间序列预测的卷积神经网络架构。其核心思想是通过多尺度等距卷积结合融合注意力机制，同时捕捉局部时间模式和全局季节性依赖关系，从而在没有全自注意力机制二次成本的情况下，实现对复杂时间动态的高效且富有表现力的建模。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Wang, H., Peng, J., Huang, F., Wang, J., Chen, J., & Xiao, Y. (2023). MICN: Multi-scale local and global context modeling for long-term series forecasting. ICLR. link ↗
如何引用本页
ScholarGate. (2026, June 2). MICN (Multi-scale Isometric Convolution Network). ScholarGate. https://scholargate.app/zh/deep-learning/micn
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
Compare side by side →