BP神经网络模型拟合受回水影响的水位流量关系研究  

A New Method to Simulate Stage-discharge Relation Affected by Backwater

作　　者：刘政[1] 邹长武[1,2] 赵吉武[2] 王增武[2] 

机构地区：[1]四川大学水电学院,四川成都610065 [2]成都信息工程学院,四川成都610225

出　　处：《水文》2008年第6期28-29,24,共3页Journal of China Hydrology

基　　金：成都信息工程学院科技发展基金(CSRF200401)资助

摘　　要：对受回水影响的水文测站的水位流量关系采用该水文测站的水位及其与下游形成回水处的水文测站之间的落差作为输入建立BP神经网络模型进行拟合。结果表明,BP神经网络对受回水影响的水位流量关系拟合效果好,可以进行推广应用。Stage-discharge relation affected by backwater was simulated by Back-Propagation artificial neural networks with water level of the hydrological station and the fall between it and the hydrological station which formed the backwater as input. The result shows Back-Propagation artificial neural networks can simulate the relationship well.

关 键 词：回水 水位流量关系 BP神经网络 拟合 

分 类 号：P332[天文地球—水文科学]