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在高炉炉况波动较剧烈时,现有的方法很难对铁水含硅量做出准确预报,本文提出基于事例推理(CBR)的高炉铁水含硅量预报方法,对解决此问题具有一定指导意义。
When the fluctuating condition of blast furnace is rather violent, it is very difficult to predict accurately the silicon content in hot metal by the existing methods. This paper presents a case-based reasoning (CBR) method for predicting the silicon content of blast furnace hot metal, which is of guiding significance in solving this problem .