DocumentCode
396729
Title
Explaining how a multi-layer perceptron predicts helicopter airframe load spectra from continuously valued flight parameter data
Author
Vaughn, M.L. ; Franks, J.G.
Author_Institution
Cranfield Univ., Swindon, UK
Volume
2
fYear
2003
fDate
20-24 July 2003
Firstpage
1059
Abstract
This study explains how a multi-layer perceptron predicts helicopter airframe load spectra from continuously valued flight parameter data for 2 example regression outputs - a high strain case and a low strain case. In each case, the input channels are discovered that determine the output activation values. The underlying mechanism that drives the MLP regression output for the two cases is determined.
Keywords
aerospace control; aerospace simulation; helicopters; multilayer perceptrons; prediction theory; regression analysis; MLP regression output; continuously valued flight parameter data; helicopter airframe load spectra prediction; high strain case; low strain case; multilayer perceptron; Capacitive sensors; Data mining; Helicopters; Multilayer perceptrons; Neural networks; Neurons; Predictive models; Standards development; Strain measurement; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-7898-9
Type
conf
DOI
10.1109/IJCNN.2003.1223837
Filename
1223837
Link To Document