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Prediction of Sinter Properties Using a Hyper-Parameter-Tuned Artificial Neural Network
[Image: see text] The present work aims at performing prediction validation for the physical properties of coke layered and nonlayered hybrid pelletized sinter (HPS) using artificial neural networks (ANNs). Physical property analyses were experimentally performed on the two HPS products. The ANN mod...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10077576/ https://www.ncbi.nlm.nih.gov/pubmed/37033850 http://dx.doi.org/10.1021/acsomega.2c05980 |