A Fusion Transformer for Multivariable Time Series Forecasting: The Mooney Viscosity Prediction Case

Multivariable time series forecasting is an important topic of machine learning, and it frequently involves a complex mix of inputs, including static covariates and exogenous time series input. A targeted investigation of this input data is critical for improving prediction performance. In this pape...

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Detalles Bibliográficos
Autores principales: Yang, Ye, Lu, Jiangang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026292/
https://www.ncbi.nlm.nih.gov/pubmed/35455191
http://dx.doi.org/10.3390/e24040528

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026292/
https://www.ncbi.nlm.nih.gov/pubmed/35455191
http://dx.doi.org/10.3390/e24040528

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