摘要
阐述了BP神经网络模型的计算步骤及其改进方法,并将其应用到石港抽水站抽水量预测的研究中。实例证明:该方法预测精度比较高,具有较大的研究潜力,为抽水站抽水量的预测提供了新思路。
Computation procedure and modification of Back Propagation Neural Network （BPNN） were elaborated. The BPN prediction model was applied in the prediction of the water quantity of Shigang Pump Station. The given example shows that the prediction model had higher prediction accuracy and tremendous potentiality. The present article provide a new idea for predicting the water quantity of pump station.
出处
《安徽农业科学》
CAS
北大核心
2009年第30期14894-14895,14898,共3页
Journal of Anhui Agricultural Sciences
关键词
BP神经网络
泵站
预测
Back propagation neural network
Pump station
Predict
