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A Deep Learning-based approach for forecasting off-gas production and consumption in the blast furnace
This article presents the application of a recent neural network topology known as the deep echo state network to the prediction and modeling of strongly nonlinear systems typical of the process industry. The article analyzes the results by introducing a comparison with one of the most common and ef...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8051551/ https://www.ncbi.nlm.nih.gov/pubmed/33879977 http://dx.doi.org/10.1007/s00521-021-05984-x |