城市用水量预测模型及其应用

Model to appraise water requirement of city and its application

利用径向基函数神经网络,建立了城市用水量预测模型,并根据阜新市近些年来影响城市用水量的主要影响因素的数据对该网络进行训练,用训练好的网络模型预测今后的城市用水量,拟和预测结果表明该模型有较高预测精度,并具有一定的通用性和客观性等优点。

Applies radial basis-function network to establish the model of water requirement prediction that is superior to BP neural network. And then the model is used to predict the water requirement of Fuxin city after it is optimized. Results of prediction indicate that the model can improve predicting ability and the accuracy efficiently. Moreover, It haves advantages such as the high accuracy of prediction and objectivity,etc.