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...
Salvato in:
| Autori principali: | , , , , |
|---|---|
| Natura: | Artigo |
| Lingua: | Chinês |
| Pubblicazione: |
China InfoCom Media Group
2025-01-01
|
| Serie: | 大数据 |
| Soggetti: | |
| Accesso online: | http://www.j-bigdataresearch.com.cn/zh/article/doi/10.11959/j.issn.2096-0271.2025010/ |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|