Application of grey relational analysis and extreme learning machine method for predicting silicon content of molten iron in blast furnace-Reference-Cited by-同舟云学术

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Application of grey relational analysis and extreme learning machine method for predicting silicon content of molten iron in blast furnace

Published:2018-06-05 Issue:10 Volume:46 Page:974-979
ISSN:0301-9233
Container-title:Ironmaking & Steelmaking
language:en
Short-container-title:Ironmaking & Steelmaking

Author:

Chen Wei¹²,Kong Fanbei¹,Wang Baoxiang¹²,Li Yuhan¹

Affiliation:

1. North China University of Science and Technology, College of Metallurgy & Energy, Tangshan, Hebei, People’s Republic of China

2. Hebei Province High Quality Steel Continuous Casting Engineering Technology Research Center, Tangshan, Hebei, People’s Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province

Publisher

Informa UK Limited

Subject

Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials

Link

https://www.tandfonline.com/doi/pdf/10.1080/03019233.2018.1470146

Reference20 articles.

1. Oxidation Behavior of Silicon and Carbon in Molten Iron-Carbon-Silicon Alloys with Carbon Dioxide

2. Nonlinear Modeling Method Applied to Prediction of Hot Metal Silicon in the Ironmaking Blast Furnace

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