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Prediction of temperature distribution in a furnace using the incremental deep extreme learning machine
In this article, a data-driven model based on the incremental deep extreme learning machine (IDELM) algorithm is proposed to predict the temperature distribution in the furnace. To this end, computational fluid dynamics (CFD) simulations are carried out first to get temperature distributions under t...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280622/ https://www.ncbi.nlm.nih.gov/pubmed/37346551 http://dx.doi.org/10.7717/peerj-cs.1218 |