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Updated: Jul 31, 2026

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基于多个时间尺度分析的高炉透性指数的多步预测

Qifu Chen1, Zhuang Li2, Weijun Li2

  • 1School of Future Technology, China University of Geosciences, Wuhan 430074, China; Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China; Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan 430074, China.

ISA transactions
|December 3, 2025
PubMed
概括

准确预测高炉透率指数 (PI) 对于高效运营至关重要. 本研究引入了一种多步预测模型,使用多时间尺度分析和代补偿来提高PI预测的准确性和稳定性.

关键词:
高炉高炉的使用情况.多步预测多步预测多时间尺度的多时间尺度.透性指数是指透性指数.支持矢量回归的支持矢量回归变量模式分解变量模式分解

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