A bayesian artificial neural network method to characterise laminar defects using dynamic measurements

Lam, H. F., Veidt, M. and Kitipornchai, S. (2004). A bayesian artificial neural network method to characterise laminar defects using dynamic measurements. In: L. Ye, Y-W. Mai and Z. Su, Proceedings of the Fourth-Asian-Australasian Conference on Composite Materials. Composites Technologies for 2020, Sydney, Australia, (1-7). 6-9 July, 2004.

Author Lam, H. F.
Veidt, M.
Kitipornchai, S.
Title of paper A bayesian artificial neural network method to characterise laminar defects using dynamic measurements
Conference name Composites Technologies for 2020
Conference location Sydney, Australia
Conference dates 6-9 July, 2004
Proceedings title Proceedings of the Fourth-Asian-Australasian Conference on Composite Materials
Place of Publication Australia
Publisher The Asian-Australasian Association for Composite Materials, University of Sydney
Publication Year 2004
Sub-type Fully published paper
Editor L. Ye
Y-W. Mai
Z. Su
Volume CD ROM
Issue 2004
Start page 1
End page 7
Total pages 7
Collection year 2004
Language eng
Subjects E1
290501 Mechanical Engineering
671401 Scientific instrumentation
Q-Index Code E1

 
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Created: Thu, 23 Aug 2007, 19:45:00 EST