Prediction of hot metal temperature based on data mining

Accurately and continuously monitoring the hot metal temperature status of the blast furnace (BF) is a challenging job. To solve this problem, we propose a hot metal temperature prediction model based on the AdaBoost integrated algorithm using the real production data of the BF. We cleaned the raw d...

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Autores principales: Jun Zhao, Xin Li, Song Liu, Kun Wang, Qing Lyu, Erhao Liu
Formato: article
Lenguaje:EN
Publicado: De Gruyter 2021
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Acceso en línea:https://doaj.org/article/89c4372aac0a47f7b81cc2a1af27941c
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