安徽农业科学2009，Vol.37Issue(30)：14894-14895,14898,3.
基于BP神经网络的抽水泵站抽水量预测
Prediction of Water Quantity of Pump Station Based on BP Neural Network Model
朱小琴 1郭军 1刘广军1
作者信息
- 1. 江苏省洪泽湖水利工程管理处,江苏,洪泽,223100
- 折叠
摘要
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.关键词
BP神经网络/泵站/预测Key words
Back propagation neural network/ Pump station/ Predict
分类
农业科技引用本文复制引用
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):14894-14895,14898,3.
