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《Desert and Oasis Meteorology》 2007-01
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Application of Artificial Neural Network(ANN) to Forecast of Nanjing's Short-term Precipitation in Autumn

CAI Ren(Xinjiang Meteorological Observatory,Urumqi 830002,China)  
Using the HLAFS data from Oct.2,2002 to Dec.1,2002,the combined predictor of Nanjing's rainfall in autumn is obtained by correlation coefficient verifying.Utilizing the predictor and corresponding rainfall data trains the ANN,and then the precipitation forecasting data is taken out in order to test the level forecast of Nanjing's precipitation in autumn,the results show that the correct rate of rainfall prediction is 70%~80%,10%~20% higher than HLAFS model.
【CateGory Index】: P456.1
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