摘要
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．
A neural network-based predictive model of sinter chemical composition is proposed in this paper using a feed forward neural network with one hidden layer. Satisfactory simulation results are obtained through inporting real data to the model.
出处
《烧结球团》
北大核心
1997年第5期7-10,共4页
Sintering and Pelletizing
