Data Driven Self-Learning Model for Supplementing Abnormal Molten Iron Information and Predicting Converter Endpoint Carbon Content and Temperature.

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Bibliographic Details
Title: Data Driven Self-Learning Model for Supplementing Abnormal Molten Iron Information and Predicting Converter Endpoint Carbon Content and Temperature.
Authors: Xin, Tongze1, Wang, Min1,2, wangmin@ustb.edu.cn
Source: JOM: The Journal of The Minerals, Metals & Materials Society (TMS); Sep2025, Vol. 77 Issue 9, p7055-7068, 14p
Database: Applied Science & Technology Source
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Description
ISSN:10474838
DOI:10.1007/s11837-025-07542-5