摘要
传统的城市供水系统的预测方法对预测的精度难于保证。提出利用MATLAB工具箱建立BP神经网络并以过去记录的供水压力数据来训练网络的方法对未来供水管网压力进行预测,从预测的结果可知该方法运行简单,操作方便,准确度高。
The traditional system of urban supply water forecasting is difficult to ensure the accuracy of the prediction.This paper proposes a method that uses the MATLAB toolbox to establish the BP neural network with the past records of the water pressure data to train the network and forecast the water pressure of the future supply pipe networks.The predicted results show that the method has simplicity of operation,convenient of operation and high accuracy.
出处
《黑龙江八一农垦大学学报》
2011年第2期13-15,共3页
journal of heilongjiang bayi agricultural university
