BP网络算法需水量预测模型的应用  

Prediction of Urban Water Demand with BP Neutral Network Method

作　　者：薄会娟[1] 董晓华[1] 邓霞[1] 

机构地区：[1]三峡大学水利与环境学院,443002

出　　处：《灾害与防治工程》2010年第1期47-51,共5页Disaster and Control Engineering

基　　金：国家自然科学基金项目(40701024)

摘　　要：由于水资源的日渐减少,尤其是水资源短缺的地区,水资源规划与管理显得尤为重要。需水量预测是进行水资源规划与管理的重要技术,合理且准确地预测未来的需水量,可以避免投资的浪费和减少将来用水危机的发生。本文采用BP神经网络,利用烟台市与需水量相关关系比较好的影响因子对需水量进行预测,结果表明,预测值与实测值相差较小,且BP神经网络用于需水量预测具有一定的可行性。Due to the decrease of water resource,programming and managing of water resource are most important,especially in water shortage area.Prediction of water demand is the major part of the technology.If the prediction can be done reasonably and precisely,it can avoid waste and occurrence of water supply crisis.In this paper,we use BP neutral network to analyze the factors that are well related to water demand in Yantai city.The result shows that the prediction and the real observation data are close.We conclude that the BP neutral network method is feasible in prediction of the water demand.

关 键 词：BP神经网络 需水量预测 水资源 

分 类 号：TV213.4[水利工程—水文学及水资源]