Ensemble prediction of summer rainfall patterns over eastern China based on artificial neural networks
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    Abstract:

    On basis of the back propagation artificial neural networks(BP ANN) method,and under consideration of the mean value differences caused by different sample collections for their individual differences and interdecadal variations,which may influence the simulation and prediction of summer rainfall patterns over eastern China,the cross validation and ensemble prediction ideas are adopted to improve the prediction method.An independent prediction is gotten during each cross validation test,and then many times cross validation test by the ANN model established based on different sample collections may give many times prediction results for the predicted year.Its performance seems good in the prediction test of four rainfall patterns over eastern China in summer.

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孙照渤,谭桂容,赵振国,卢明,2013.中国东部夏季雨型的人工神经网络集合预测[J].大气科学学报,36(1):1-6.
SUN Zhao-bo, TAN Gui-rong, ZHAO Zhen-guo, LU Ming,2013. Ensemble prediction of summer rainfall patterns over eastern China based on artificial neural networks[J]. Trans Atmos Sci,36(1):1-6.

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History
  • Received:June 26,2012
  • Revised:October 28,2012
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