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《Ordnance Industry Automation》 2007-01
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IC Production Demand Forecasting Based on Time Sequence Method

ZHANG Yan, YANG Dong, YAO Xiao-dong (School of Mechanical & Power Engineering, Shanghai Jiaotong University, Shanghai 200030, China)  
The demand forecasting system of IC production based on time sequence method and LabVIEW programming, adopts methods of inverse serial correlation and test for kurtosis and skewness to forecast the production history data. Then carry out reorganization mode for the conditioned data sequence. Then estimate model parameters by using long autoregression methods. Finally, integrate AIC testing, F testing and whiteness testing to get precise rank for setting up production demand forecasting model.
【CateGory Index】: TN405
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【Co-citations】
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