基于混沌加权一阶局部预测模型 ,在拟合预测器过程中 ,采用矩阵、向量拟合取代单一变量拟合 ,对预测模型进行了修正 ,并将修正的预测模型应用于国内中型高炉 ( 380— 75 0m3)Si含量预报 ,取得了很好的效果 .同时得出高炉冶炼过程的混沌特征状态量Kolmogorov熵值 ,影响着高炉Si含量预报命中率的高低 Based on the chaotic-weighted first-order local prediction model, in the process of fitting the predictor, matrix and vector fitting are used to replace the single variable fitting, the prediction model is modified, and the revised prediction model is applied to the domestic medium-sized blast furnace (380- 75 0m3) Si content, and achieved good results.At the same time, the Kolmogorov entropy value of chaos characteristic state quantity in blast furnace smelting process was obtained, which affected the prediction rate of Si content in blast furnace