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《Journal of Hydroelectric Engineering》 2009-01
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Grey self-memory model based on BP neural network for annual runoff prediction

ZHANG Xiaowei,SHEN Bing,HUANG Lingmei(Key Lab of Northwest Water Resources and Environment Ecology,MOE at XAUT,Xi'an 710048)  
The key problem of improving the accuracy of runoff prediction is safficiently to dig the information included in the sample series.For the defect of the grey and grey self-memory model,on account of integrative prediction,the BP neural network is used to deal with the error existed in grey self-memory model,then the grey self-memory model based on BP neural network is developed.It is shown that the model has better prediction accuracy and may be used for annual runoff prediction.
【Fund】: 国家自然基金(50579063 50779052)
【CateGory Index】: P333.1
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