Spatiotemporal Transformer Neural Network for Time-Series Forecasting

Predicting high-dimensional short-term time-series is a difficult task due to the lack of sufficient information and the curse of dimensionality. To overcome these problems, this study proposes a novel spatiotemporal transformer neural network (STNN) for efficient prediction of short-term time-serie...

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Detalles Bibliográficos
Autores principales: You, Yujie, Zhang, Le, Tao, Peng, Liu, Suran, Chen, Luonan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689721/
https://www.ncbi.nlm.nih.gov/pubmed/36421506
http://dx.doi.org/10.3390/e24111651

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689721/
https://www.ncbi.nlm.nih.gov/pubmed/36421506
http://dx.doi.org/10.3390/e24111651

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