高炉铁水硅含量的神经网络时间序列预报

Time-Series Prediction of Silicon Content in Hot Metal by Neural Network

利用ＢＰ网络实现了高炉铁水硅含量的时间序列预报，并以高炉铁水硅含量的历史数据对下一炉铁水的硅含量进行离线预报。结果表明，本模型具有较好的预报效果。

A time-series prediction model has been developed to predict silicon content in hot metal by neural network, and off-line prediction of future silicon content is to be made according to the historical data of silicon content in blast furnace.The simulation indicates this model results in good effect.