Endpoint Phosphorus Content Prediction in BOF Steelmaking Using PCA-Based Support Vector Regression

Q4 Materials Science

Iron and Steel Technology Pub Date : 2022-03-20 DOI:10.33313/tr/0422

S. Mukherjee, S. Barui, K. Chattopadhyay

引用次数: 0

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基于主成分分析的支持向量回归法预测转炉炼钢终点磷含量

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Iron and Steel Technology Materials Science-Metals and Alloys

CiteScore

0.40

自引率

0.00%

发文量

期刊介绍： Iron & Steel Technology is the premier technical journal for metallurgical, engineering, operating and maintenance personnel in the North American iron and steel industry. As the official monthly publication of AIST, Iron & Steel Technology is the most comprehensive and widely circulated journal available today, dedicated to providing its readers with the latest information on breakthroughs and trends in equipment, processes and operating practices in the international iron and steelmaking industry.