【摘要】 利用人工神经网络技术 ,建立BP网络模型 ,通过网络的学习训练 ,能够比较准确地预测影响合成镁钙砂粉化率的因素更多还原

【Abstract】 In this paper, the model of BP network is established by means of the artificial neural network (ANN) technology. A comparatively accurate prediction about the effect of synthetic magnesia-calcium clinker chalking rate can be obtained through the learning and training function of the network.更多还原