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《Scientia Meteorologica Sinica》 2005-04
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APPLICATION OF PRINCIPAL COMPONENT ANALYSIS METHOD IN NEURAL NETWORK INTEGRATIVE FORECASTING

Sheng Fei(HGSMHC,Beijng 100081)  
This paper applies Principal Component analysis method to neural network integrative forecasting,and decides the required number of PC according to contribution of each PC to variance,then reconstructs the predictand to accelerate speed of calculation and improve the accuracy of prediction.
【Fund】: 国家自然科学基金(编号:40175012)资助
【CateGory Index】: P456
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