Prediction model of BOF end-point P and O contents based on PCA–GA–BP neural network

Prediction model of BOF end-point P and O contents based on PCA–GA–BP neural network

Low-carbon, green and intelligent production is urgently needed in China’s iron and steel industry. Accurate prediction of liquid steel composition at the end of basic oxygen furnace (BOF) plays an important role in promoting high-quality, high-efficiency and stable production in steelmaking process...

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Bibliographic Details
Main Authors: Liu Zhao, Cheng Shusen, Liu Pengbo
Format: Article
Language:English
Published: De Gruyter 2022-09-01
Series:High Temperature Materials and Processes
Subjects:
bof
prediction model
principal component analysis
bp neural network
genetic algorithm
Online Access:https://doi.org/10.1515/htmp-2022-0050

Internet

https://doi.org/10.1515/htmp-2022-0050

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