Constructing Multiple Kernel Learning Framework for Blast Furnace Automation-Reference-Cited by-同舟云学术

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Constructing Multiple Kernel Learning Framework for Blast Furnace Automation

Published:2012-10 Issue:4 Volume:9 Page:763-777
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Jian Ling,Gao Chuanhou,Xia Zhonghang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx5/8856/6319440/06289392.pdf?arnumber=6289392

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Control of silicon content in blast furnace iron based on GRA–LSTM–BAS prediction methods;Ironmaking & Steelmaking: Processes, Products and Applications;2024-01-15

3. Data-Driven Joint Fault Diagnosis Based on RMK-ASSA and DBSKNet for Blast Furnace Iron-Making Process;IEEE Transactions on Automation Science and Engineering;2024

4. Prediction model for hot metal temperature based on MI-PSO-LSTM;2023 38th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2023-08-27

5. Data-driven soft sensors in blast furnace ironmaking: a survey;Frontiers of Information Technology & Electronic Engineering;2023-03

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