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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| 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 |