炼铁生产入炉焦化等指标的时间序列预测方法

On Time Series Forecasting Methods for Coke Ratios and Other Factors of Iron-Making

研究了生产过程的时间序列预测方法 ,并对某厂炼铁生产的入炉焦比等指标进行预测 ,得到了较好的结果 .文中阐述的基于BP神经网络的混沌时间序列预测方法 ,Box_Jenkins的自回归移动平均模型方法和混沌预测方法既有理论意义 。

It shows that the forecasting methods based on time series to produce are discussed and coke ratios to iron_make and other factors are forecasted by the methods in the paper.The example shows the method can get satisfying result.It is significant and valuable that chaos time series forecasting based on BP neural networks,Box_Jenkins ARMA model forecasting and simple chaos forecasting method.