Prediction of blast furnace hot metal temperature based on support vector regression and extreme learning machine

The hot metal temperature is a key process parameter for blast furnace (BF) ironmaking that reflects the quality of hot metal, the thermal state of BF hearth, the energy utilization efficiency of BF, and many other information. Prediction of the hot metal temperature in the next smelting cycle will...

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Egile Nagusiak:	Zhen-yang WANG, De-wen JIANG, Xin-dong WANG, Jian-liang ZHANG, Zheng-jian LIU, Bao-jun ZHAO
Formatua:	Artigo
Hizkuntza:	Chinês
Argitaratua:	Science Press 2021-04-01
Saila:	工程科学学报
Gaiak:	big data machine learning support vector regression extreme learning machine hot metal temperature
Sarrera elektronikoa:	http://cje.ustb.edu.cn/article/doi/10.13374/j.issn2095-9389.2020.05.28.001
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!