人工神经网络模型在淮滨站天然径流量计算中的应用初探  

Application of Neural Network BP Model in Calculating Annual Natural Runoff at Huaibin Station

作　　者：崔新华 

机构地区：[1]河南省水文水资源局,河南郑州450003

出　　处：《水文》2008年第2期55-59,共5页Journal of China Hydrology

摘　　要：本文提出了利用神经网络模型计算天然径流量的一种方法。作为一个案例,该模型在淮河上游淮滨站以上流域被成功地建立,并有效地用于由降水量和蒸发量资料推求年天然径流量。计算结果表明,BP神经网络模拟模型不但具有一定的精度,而且也为研究径流量的快速计算提供了一条新途径。In this paper, a method was provided for computing natural annual runoff with a case, the model was satisfactorily structured and effectively used in computation precipitation and evaporation at Huaibin Station on the upstream of the Huai River. The not only has a certain simulation accuracy, but also gives a new approach Qn researching a neural network BP model. As of annual natural runoff with results show that the BP model runoff quantity.

关 键 词：BP神经网络模拟模型 计算 年天然径流量 

分 类 号：P338.2[天文地球—水文科学]