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《Engineering Journal of Wuhan University》 2007-01
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Reference crop evapotranspiration forecasting model for BP neural networks based on wavelet transform

LIU Bingjun1,2,SHAO Dongguo1,SHEN Xingpin1(1.State Key Laboratory of Water Resources and Hydropower Engineering Science,Wuhan 430072,China;2.Department of Water Resources and Environment,Sun Yat-sen University,Guangzhou 510275,China)  
Reference crop evapotranspiration(RCE) characterized by its nonlinearity and multi-time scale feature,may vary with the change of time under the influence of stochastic variation of meteorological factors such as temperature,sunlight,wind speed,vapor pressure and so on.In order to reveal the evolutionary law of RCE time series process,a forecasting model with the wavelet transform and the BP neural network combined together is established.This model has super advantage with its absorbing some merits of wavelet transform and artificial neural network.The prediction of Shaoshan Irrigation District series is researched;the results show that the model is satisfactory.
【Fund】: 国家重点“973”资助项目(编号:2003CB415206)
【CateGory Index】: S311;S126
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