Model for non-periodic time series prediction
In practical applications, purely periodic data is relatively rare, and most data often exhibit non-periodic characteristics, making it challenging to predict or describe through simple periodic changes. Single neural network frequently encounters issues such as overfitting, difficulties in capturin...
Uloženo v:
| Hlavní autoři: | , , , , |
|---|---|
| Médium: | Artigo |
| Jazyk: | Chinês |
| Vydáno: |
China InfoCom Media Group
2025-01-01
|
| Edice: | 大数据 |
| Témata: | |
| On-line přístup: | http://www.j-bigdataresearch.com.cn/zh/article/doi/10.11959/j.issn.2096-0271.2025010/ |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|