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《Fire Control & Command Control》 2011-04
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A Study of Aero-engine Operational Economy Model Based on PCA-BPNN

ZHANG Yin-feng,CHANG Wen-bing,XIAO Yi-yong,HUANG Zhao-dong (Beihang University,Beijing 100191,China)  
Based on the aero-engine operational economy,aiming at its main indictor fuel consumption rate,the modeling approach for aero-engine operational economy based on principal component analysis and BP neural network was given.This approach extracted several the principal features of fuel consumption rate indices by PCA which wiped off the correlation of the data and descended the scale of BP neural network.Then a model was built with the high-effective nonlinear mapping capability of BP network.In the end,the validity was proven by using an instance and it provided a kind of new selection method for the aero-engine scheme design.
【Fund】: 国防科技工业技术基础研究基金资助项目
【CateGory Index】: V235.13
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