PLS -WNN algorithm and its applications in aerodynamic parameters regression estimate

An aerodynamic parameters regression estimate method based on Wavelet Neural Network by Partial Least Square feature extraction is proposed. This method can overcome problems of data noise and multiple correlations among parameters, accurately describe the dynamic characteristics of flight vehicle....

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Bibliographic Details
Published inChinese Control Conference pp. 1990 - 1993
Main Authors Meng Yuebo, Liu Guanghui
Format Conference Proceeding
LanguageChinese
English
Published TCCT, CAA 01.07.2013
Subjects
Aerodynamic Parameters
Aerodynamics
Educational institutions
Electronic mail
Feature extraction
Neural networks
Partial Least Square
Vehicle dynamics
Vehicles
Wavelet Neural Network
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ISSN1934-1768

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Summary:An aerodynamic parameters regression estimate method based on Wavelet Neural Network by Partial Least Square feature extraction is proposed. This method can overcome problems of data noise and multiple correlations among parameters, accurately describe the dynamic characteristics of flight vehicle. Firstly, using Partial Least Square extracts basic feature of training samples in flight data. The second, aerodynamic parameters are regression estimated based on Wavelet Neural Network by using basic feature extracted. Finally, the method proved by experiment is effective and feasible to be used for flight vehicle aerodynamic parameters regression estimate.
ISSN:1934-1768