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基于BP神经网络的抽水泵站抽水量预测
引用本文:朱小琴,郭军,刘广军.基于BP神经网络的抽水泵站抽水量预测[J].安徽农业科学,2009,37(30):14894-14895.
作者姓名:朱小琴  郭军  刘广军
作者单位:江苏省洪泽湖水利工程管理处,江苏,洪泽,223100 
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。

关 键 词:BP神经网络  泵站  预测

Prediction of Water Quantity of Pump Station Based on BP Neural Network Model
ZHU Xiao-qin et al.Prediction of Water Quantity of Pump Station Based on BP Neural Network Model[J].Journal of Anhui Agricultural Sciences,2009,37(30):14894-14895.
Authors:ZHU Xiao-qin
Institution:ZHU Xiao-qin et al (Water Conservancy Project Management Office of Hongze Lake of Jiangsu Province,Hongze,Jiangsu 223100)
Abstract: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.
Keywords:Back propagation neural network  Pump station  Predict  
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