MLGN: multi-scale local-global feature learning network for long-term series forecasting

MLGN: multi-scale local-global feature learning network for long-term series forecasting

Although Transformer-based methods have achieved remarkable performance in the field of long-term series forecasting, they can be computationally expensive and lack the ability to specifically model local features as CNNs. CNN-based methods, such as temporal convolutional network (TCN), utilize conv...

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Bibliographic Details
Main Authors: Maowei Jiang, Kai Wang, Yue Sun, Wenbo Chen, Bingjie Xia, Ruiqi Li
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Machine Learning: Science and Technology
Subjects:
time series forecasting
multi-sale
local-global feature extraction
deep learning
machine learning
long-term sequence forecasting
Online Access:https://doi.org/10.1088/2632-2153/ad1436

Internet

https://doi.org/10.1088/2632-2153/ad1436

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