论文部分内容阅读
本文利用前馈神经网络，建立了烧结矿化学成分超前预报的模型；通过对现场实际运行数据分析表明，预报模型具有很好的预报结果和实际应用前景．
In this paper, the feedforward neural network is used to establish the model of advanced prediction of chemical composition of sinter. The analysis of actual operation data shows that the prediction model has good forecast results and practical application prospects.