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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lv, Manli, Zhao, Jianping, Cao, Shengxian, Shen, Tao, Tang, Zhenhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Algorithms and Analysis of Algorithms
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

Internet

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

Ejemplares similares