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Proceedings Paper

Back-propagation neural net using Taguchi quality
Author(s): Mo Chung Lee; M. S. Young; B. Hung; Rwei-Ping Ma; Chii-Maw Uang
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Paper Abstract

In this paper, the Taguchi Quality Engineering Method (TQEM) is applied to choose the required flight parameters in a back propagation neural algorithm for the analysis of aircraft wing loading. The screening out unwanted parameters is an important procedure in strain measurement, as using too many flight parameters increases the complexity of the network structure and also the difficulty of the learning scheme. The demonstrated results show that TQEM is easier and more reliable than traditional methods for choosing the required parameters for system identification.

Paper Details

Date Published: 20 September 1999
PDF: 7 pages
Proc. SPIE 3801, Photorefractive Fiber and Crystal Devices: Materials, Optical Properties, and Applications V, (20 September 1999); doi: 10.1117/12.363943
Show Author Affiliations
Mo Chung Lee, National Chang Kung Univ. (Taiwan)
M. S. Young, National Chang Kung Univ. (Taiwan)
B. Hung, Chung San Institute of Science and Technology (Taiwan)
Rwei-Ping Ma, Chung San Institute of Science and Technology (Taiwan)
Chii-Maw Uang, I-Shou Univ. (Taiwan)


Published in SPIE Proceedings Vol. 3801:
Photorefractive Fiber and Crystal Devices: Materials, Optical Properties, and Applications V
Francis T. S. Yu; Shizhuo Yin, Editor(s)

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