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...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Chinês |
| Опубліковано: |
China InfoCom Media Group
2025-01-01
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| Серія: | 大数据 |
| Предмети: | |
| Онлайн доступ: | http://www.j-bigdataresearch.com.cn/zh/article/doi/10.11959/j.issn.2096-0271.2025010/ |
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