时序数据预测
https://paperswithcode.com/sota/time-series-forecasting-on-etth2-48?p=informer-beyond-efficient-transformer-for
时序数据预测
https://colab.research.google.com/drive/1_X7O2BkFLvqyCdZzDZvV2MB0aAvYALLC#scrollTo=SA_i2gbl-rn-
1
SCINet
(Univariate)
0.227 0.089
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
2021
2
DLinear
0.235 0.096
Are Transformers Effective for Time Series Forecasting?
2022
3
QuerySelector
0.2622 0.1117
Long-term series forecasting with Query Selector -- efficient model of sparse attention
2021
4
Transformer
0.2763 0.1218
Long-term series forecasting with Query Selector -- efficient model of sparse attention
2021
5
Informer
0.314 0.155
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
2020
6
Yformer
0.334 0.172
Yformer: U-Net Inspired Transformer Architecture for Far Horizon Time Series Forecasting
2021
7
SCINet
(Multivariate)
0.341 0.259
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
2021
8
ARIMA
0.474 3.190
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
2020
【推荐】国内首个AI IDE,深度理解中文开发场景,立即下载体验Trae
【推荐】编程新体验,更懂你的AI,立即体验豆包MarsCode编程助手
【推荐】抖音旗下AI助手豆包,你的智能百科全书,全免费不限次数
【推荐】轻量又高性能的 SSH 工具 IShell:AI 加持,快人一步
· 阿里最新开源QwQ-32B,效果媲美deepseek-r1满血版,部署成本又又又降低了!
· 单线程的Redis速度为什么快?
· SQL Server 2025 AI相关能力初探
· AI编程工具终极对决:字节Trae VS Cursor,谁才是开发者新宠?
· 展开说说关于C#中ORM框架的用法!
2009-10-08 An error has occurred during report processing
2007-10-08 asp.net 2.0 中的 Webadmin.axd