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《Hydropower Automation and Dam Monitoring》 2007-02
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Application of Data Mining to Runoff Prediction

LI Cailin1,2,XU Huijun1,WANG Jinwen1(1.Huazhong University of Science and Technology,Wuhan 430074,China)(2.Guilin University of Electronic Technology,Guilin 541004,China)  
The data mining-based runoff prediction method is introduced.With the data-mining tool ANN,a runoff prediction model is built up.The BP model is used as the data-mining tool,and the convergence rate is improved with the modification of the weight coefficients.The model is tested in a project and compared with general models.The test result and analysis illustrate its good precision of prediction and good value of application.
【CateGory Index】: P338.2
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