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《Journal of Shenyang Agricultural University》 2012-01
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The BP Network Prediction Model for Annual Runoff for Lacking of Hydrological Station

ZHOU Lin-fei,KANG Ping-ping,LI Bo (College of Water Conservancy,Shenyang Agricultural University,Shenyang 110161,China)  
In connection with the problem of runoff prediction of river section for lacking of station,with the targeted impact factor the annual runoff prediction model was established taking Tieling station of Liao River mainstream as the imaginary example which used improved BP algorithm of Artificial Neural Network-adaptive learning rate algorithm and Matlab Toolbox as the tool.The error met the requirement after forty-eight times training.Take the measured data from 2004 to 2006 as test sample to simulate and verify the model accuracy.The simulation result showed that the prediction of the three years met the requirement and the model could be used in annual runoff prediction on any section of river.
【Fund】: 国家自然科学基金面上资助项目(50879046)
【CateGory Index】: P334.92
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