摘要
根据城市用水量的变化特点，选取能充分体现用水量变化规律的等维新息数据文件，并合理选取期望输出，建立了城市用水量预测的神经网络等维新息模型。经实例验证，并与其他预测方法比较，该模型预测误差小，可满足水源规划等工作需要。
Aequal dimension and new information model of urban water consumption has been established based on the neural network.By the experiment at certain city,and in comparison with others methods,it was proved that the forcasting errors was little and can meet the practical requiement of planning water resource.
出处
《太原理工大学学报》
CAS
1999年第4期382-384,共3页
Journal of Taiyuan University of Technology
