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《Journal of Northeast Forestry University》 2007-10
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Prediction of Annual Runoff in Songhua River Valley Based on BP Neural Networks

Gu Haiyan,Xu Wenke,Yu Lei(College of Science,Northeast Forestry University,Harbin 150040,P.R.China)  
Artificial neural network(ANN)model was used to predict the annual runoff of Songhua River Valley.It demonstrates that the ANN model is predominant in hydrological prediction.L-M algorithm with higher prediction accuracy is proved to be the optimal training algorithm for the ANN model compared with BP algorithm.Taking the actual series of annual runoff in Harbin station of Songhua River Valley as the research object,the framework of the optimal ANN prediction model is established,which can enhance the prediction accuracy.
【CateGory Index】: P338
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