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...

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Bibliographic Details
Main Authors: Manli Lv, Jianping Zhao, Shengxian Cao, Tao Shen, Zhenhao Tang
Format: Article
Language:English
Published: PeerJ Inc. 2023-02-01
Series:PeerJ Computer Science
Subjects:
Online Access:https://peerj.com/articles/cs-1218.pdf