改进BP网络模型在年用水量预测中的应用  

Application of Improved BP Model for Forecasting Annual Water Demand

作　　者：路志强[1] 李书全[2] 赵良英[1] 甄巧莲[1] 

机构地区：[1]河北农业大学城乡建设学院02级,河北保定071001 [2]天津财经大学,天津300000

出　　处：《水科学与工程技术》2005年第1期18-20,共3页Water Sciences and Engineering Technology

摘　　要：考虑城市用水量受众多因素影响,具有系统稳定性和非线性的特点,利用人工神经网络理论建立了改进BP网络预测模型,通过实例证明了该模型是一种行之有效的用水量预测模型。In view of urban water consumption's being affected by many factors and its system is stability and nonlinear characteristic. A improved BP forecast model therefore built using the artificial neural network theory. Typical examples proved that the model is a very accurate water demand forecast model.

关 键 词：城市用水量 人工神经网络 预测模型 非线性 水资源规划 

分 类 号：TU991.31[建筑科学—市政工程]