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First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06)
Research on the Non-destructive Testing Method of Pod Based on Neural Networks
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
ASCII Text
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Guangyou Yang, Guozhu Zhou, Xianli Luo, Xinming Hu, "Research on the Non-destructive Testing Method of Pod Based on Neural Networks," Innovative Computing ,Information and Control, International Conference on, vol. 2, pp. 404-407, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICICIC.2006.341,
author = {Guangyou Yang and Guozhu Zhou and Xianli Luo and Xinming Hu},
title = {Research on the Non-destructive Testing Method of Pod Based on Neural Networks},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {2},
year = {2006},
isbn = {0-7695-2616-0},
pages = {404-407},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.341},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - Research on the Non-destructive Testing Method of Pod Based on Neural Networks
SN - 0-7695-2616-0
SP404
EP407
A1 - Guangyou Yang,
A1 - Guozhu Zhou,
A1 - Xianli Luo,
A1 - Xinming Hu,
PY - 2006
KW - null
VL - 2
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Guangyou Yang, Hubei University of Technology, China
Guozhu Zhou, Hubei University of Technology, China
Xianli Luo, Hubei University of Technology, China
Xinming Hu, Hubei University of Technology, China
The non-destructive testing method of pod was proposed based on neural networks according to pod?s vibration signal. The wavelet theory is used to reconstruct chrysalis vibration signals. The characteristic values among chrysalis vibration signal, which were related to chrysalis weights, were extracted respectively. And the characteristic values were selected firstly by fuzzy classification. Then BP model for NDT of silkworm is built, which inputs include seven relevant characteristic values. The output of neural network represents weights of the chrysalis. The weight of cocoon shells can be gain indirectly. The testing result shows that the method is effective and feasible
Citation:
Guangyou Yang, Guozhu Zhou, Xianli Luo, Xinming Hu, "Research on the Non-destructive Testing Method of Pod Based on Neural Networks," icicic, vol. 2, pp.404-407, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006
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