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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Bibliografske podrobnosti

Principais autores:	CAO Jianwen, WEI Xingbao, YANG Yi, LI Caihong, ZHAO Wenqing
Format:	Artigo
Jezik:	Chinês
Izdano:	China InfoCom Media Group 2025-01-01
Serija:	大数据
Teme:	time series forecasting convolutional neural network LSTNet Informer
Online dostop:	http://www.j-bigdataresearch.com.cn/zh/article/doi/10.11959/j.issn.2096-0271.2025010/
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