Study Results from University of Science and Technology Beijing Broaden Understa nding of Machine Learning (Explainable Machine Learning Model for Predicting Mol ten Steel Temperature In the Lf Refining Process)

Robotics & Machine Learning Daily News2024，Issue(Dec.10) ：75-75.

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Study Results from University of Science and Technology Beijing Broaden Understa nding of Machine Learning (Explainable Machine Learning Model for Predicting Mol ten Steel Temperature In the Lf Refining Process)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Beijing, People’s R epublic of China, by NewsRx correspondents, research stated, “Accuratepredictio n of molten steel temperature in the ladle furnace (LF) refining process has an important influenceon the quality of molten steel and the control of steelmakin g cost. Extensive research on establishingmodels to predict molten steel temper ature has been conducted.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/University of Science and T echnology Beijing

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出版年

2024

Robotics & Machine Learning Daily News

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