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《JOURNAL OF UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING》 1995-06
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Prediction Model of Si Content in Hot Metal Based on Nueral Networks

Yang Shangbao;Yang Tianjun; Dong Yicheng(Department of Metallurgy, USTB,Beijing 100083,PRC)  
According to the checking method of blast furnace in our country,prediction model of silicon content in bot metal on mueral metworks has been developed by applying the method of artificial networks.This model has good adaptability and self-learning function.
【CateGory Index】: TF512
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【Co-references】
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8 ZHANG Hui-shu1, ZHAN Dong-ping1, JIANG Zhou-hua1, YU Yan-zhong2, SUN Li-guo3, XING Guo-cheng3, WANG Yu-hui3 (1. School of Materials and Metallurgy, Northeastern University, Shenyang 110004,China; 2 . No.2 Steelmaking Plant of Anshan Iron & Steel Group Corporation, Anshan 114001,China; 3. No.1Steelmaking Plant of Fushun SpecialSteelCo. Ltd., Fushun 113001, China);End-point Prediction Model Based on Artificial Neural Network for Ferrous Metallurgy[J];Industrial Heating;2005-02
9 GAO Xiao-qiang1,WANG Yi-ming2,ZHENG Zhong2(1.College of Economics and Business Administration,Chongqing University,Chongqing 400044,China;2.College of Materials Science and Engineering,Chongqing University,Chongqing 400044,China);Evaluation and Model Selection of Forecasting Silicon Content in Hot Metal of Blast Furnace[J];Journal of Iron and Steel Research;2007-05
10 ZHANG Zhao1,Fei Yi-nan2,SONG Lin1,WANG Suo-zhu1(1.College of Information Engineering,Capital Normal University,Beijing 100037,China;2.China Patent Information Center,Beijing 100088,China);Research of multi-class algorithm based on fuzzy support vector machine[J];Journal of Computer Applications;2008-07
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