Modified chaotic adding weight one-rank local-region forecasting for silicon content in molten iron of blast furnace

作者：Gao CH^*; Zhou ZM

来源：Acta Physica Sinica, 2004, 53(12): 4092-4097.

• blast furnace ironmaking
• forecasting silicon content in molten iron
• chaotic weighting
• first-rank local-region forecasting
• Kolmogorov entropy

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.

• 出版日期2004-12
• 单位浙江大学