StabilizeNet: a novel framework for alleviating non-stationarity in time series
Time series prediction is widely used in many fields in modern life, and its importance has become increasingly prominent. Non-stationarity is one of the main issues affecting the accuracy of time series predictions. Due to the statistical characteristics of time series data changing over time, it i...
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| Principais autores: | , |
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| Format: | Artigo |
| Jezik: | Chinês |
| Izdano: |
China InfoCom Media Group
2025-03-01
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| Serija: | 大数据 |
| Teme: | |
| Online dostop: | http://www.j-bigdataresearch.com.cn/zh/article/doi/10.11959/j.issn.2096-0271.2025019/ |
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