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...

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Detalles Bibliográficos
Autores principales: Sahoo, Soumya, Pare, Ashutosh, Mishra, Subhabrata, Soren, Shatrughan, Biswal, Surendra Kumar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
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

Internet

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

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