Least Squares Twin Support Vector Machines to Classify End-Point Phosphorus Content in BOF Steelmaking

Least Squares Twin Support Vector Machines to Classify End-Point Phosphorus Content in BOF Steelmaking

End-point phosphorus content in steel in a basic oxygen furnace (BOF) acts as an indicator of the quality of manufactured steel. An undesirable amount of phosphorus is removed from the steel by the process of dephosphorization. The degree of phosphorus removal is captured numerically by the ‘partiti...

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Bibliographic Details
Main Authors: Heng Li, Sandip Barui, Sankha Mukherjee, Kinnor Chattopadhyay
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Metals
Subjects:
machine learning
K-means clustering
K-fold cross-validation
logistic regression
Monte Carlo simulation
dephosphorization
Online Access:https://www.mdpi.com/2075-4701/12/2/268

Internet

https://www.mdpi.com/2075-4701/12/2/268

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