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Fuzzy Prediction of Silicon Content for BF Hot Metal 被引量:2

Fuzzy Prediction of Silicon Content for BF Hot Metal
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摘要 Some key operation variables influencing hot metal silicon content were selected, and time lag of each of them was obtained. A standardized fuzzy system model was developed to approach the random nonlinear dynamic system of the change of silicon content, forecast the change of silicon content and calculate silicon content. The prediction of hot metal silicon content is very successful with the data collected online from BF No. 1 at Laiwu Iron and Steel Group Co. Some key operation variables influencing hot metal silicon content were selected, and time lag of each of them was obtained. A standardized fuzzy system model was developed to approach the random nonlinear dynamic system of the change of silicon content, forecast the change of silicon content and calculate silicon content. The prediction of hot metal silicon content is very successful with the data collected online from BF No. 1 at Laiwu Iron and Steel Group Co.
机构地区 Zhejiang University
出处 《Journal of Iron and Steel Research(International)》 SCIE CAS CSCD 2005年第6期1-4,共4页 钢铁研究学报(英文版)
基金 ItemSponsoredbyNationalMinistryofScienceandTechnologyofChina(99040422A)
关键词 hot metal silicon content time lag fuzzy prediction hot metal silicon content time lag fuzzy prediction
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参考文献5

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