Prediction Model of Phosphorus Content at the End Point of Electroslag Remelting Based on MI and XGBoost Algorithms

Prediction Model of Phosphorus Content at the End Point of Electroslag Remelting Based on MI and XGBoost Algorithms

This study proposes a phosphorus content prediction model for the endpoint of electroslag remelting （ESR） refining process based on Mutual Information （MI） method and XGBoost. The MI method is utilized for feature selection and assessment of factors affecting the endpoint phosphorus content. The dat...

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Bibliographic Details
Main Author: Liu　Yuxiao, Dong　Yanwu, Jiang　Zhouhua, Chen　Xi
Format: Article
Language:zho
Published: Editorial Office of Special Steel 2025-02-01
Series:Teshugang
Subjects:
electroslag remelting； mutual information method； xgboost algorithm； phosphorus content； machine learning
Online Access:https://www.specialsteeljournal.com/fileup/1003-8620/PDF/2024-00096.pdf
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