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《鞍钢技术》 1997-08
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Development and Application of the Expert System for Thermal State of AISC No.4 BF

An Yunpei; Che Yuman ;Liu Fang; Gong Hairui(AISC Technology Centre) (AISC Ironmaking Plant)  
Based on human expert knowledge the thermal state expert system developed for AISC No 4 BF judges thermal state in blast furnace and its evolving tendency, combines the self-adaptation model,nonlinear model and neural netword modelthree predicting models for Si content and as a result makes a comprehensive predictionand draws an inference as to thermal state,evolving tendency and Si content of hotmetal.The operation resuIt shows that the prediction hitting ratio of the expert systemas to tendency to co1d and tendency to hot has already exceeded 90%,the hitting ratioof hot metal Si-conterit is 84. 7% (±0. 1 % ).
【CateGory Index】: TF325.6
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