GA-BP神经网络在动力配煤煤质和燃烧特性预测中的应用

为了满足动力配煤数字化信息控制系统对配煤煤质和燃烧特性参数在线预测的精度要求,利用GA-BP神经网络建立了动力配煤煤质和燃烧特性预测模型.该预测模型综合学习了各煤质指标内部以及和配比的关系,能够根据各参配煤种的Mad、Vad、Aad、Qnet.ar和对应的配比X,直接预测配煤产品的煤质指标Mad、Vad、Aad、Qne...

Application of the GA-BP network for predicting the blended coals quality and combustion characteristics

The predicting model based on the GA-BP network was established to meet the requirement for the on-line prediction of power coal quality and combustion characteristics by the digital information control system.The model was adopted to determine the relationships between qualities of the blended coal and its components and was established for predicting the quality indices of the coal,such as the moisture content M_（ad）,ash content A_（ad）,volatile content V_（ad） and heating value Q_（net,ar）- Based on the quality indices M_（ad）,A_（ad）,V_（ad） and Q_（net,ar）.of each coals and the mixture ratio X, the quality indices M_（ad）,A_（ad）,V_（ad） and Q_（net,ar） and the combustion characteristic parameter of Ti、C,W_1 of the blended coal can be directly predicted by the model.The prediction results showed that the model is feasible and effective.