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《Acta Aeronautica Et Astronautica Sinica》 2009-08
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Application of Hierarchical Partial Least Squares Regression to Development Cost Prediction of Aircraft

Wang Liyuan,Guo Jilian,Zhang Hengxi(Engineering College,Air Force Engineering University,Xi'an 710038,China)  
In the analysis of the development cost of an aircraft there are usually only small samples with a large number of cost drive factors.In view of this fact and considering the advantages of hierarchical partial least squares regression(Hi-PLS) in building a regressive model in the condition of a large number of variables,an application of Hi-PLS to aircraft development cost prediction is proposed using the development cost prediction of a fighter plane fuselage as an example.After the cost drive factors of the fighter plane fuselage development cost are grouped,Hi-PLS is applied to the regress of the grouped cost drive factors,and a fuselage development cost prediction model is established.The calculated results in the example show that Hi-PLS model can reflect satisfactorily the correlation between fuselage development cost and performance parameters of a military aircraft.
【CateGory Index】: F562
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