高炉铁水Si含量的修正混沌加权一阶局部预报

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—750m^3）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Kolmo gorov熵值，影响着高炉Si含量预报命中率的高低. 关键词： 高炉冶炼 铁水Si含量预报 混沌加权一阶局部预报 Kolmogorov熵

Modified chaotic adding weight one_rank local_region forecasting for silicon content in molten iron of blast furnace

Based on the usual chaotic-weighting first-rank local-region forecasting model,a modification is made for the predictor in matrix and vector simulation instead of single variant. Then the modified forecasting model is applied to predict silicon content in molten iron of the medium-sized blast furnace in China, and good results are obtained. Finally,we find that the value of Kolmogorov entropy has a great effect on the hitting accuracy of the prediction.