A comparison of artificial neural network learning algorithms for vibration-based damage detection
This paper investigates the performance of Artificial Neural Network (ANN) learning algorithms for vibration-based damage detection. The capabilities of six different learning algorithms in detecting damage are studied and their performances are compared. The algorithms are Levenberg-Marquardt (LM),...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2011
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| Online Access: | http://eprints.utm.my/id/eprint/45474/ http://dx.doi.org/10.4028/www.scientific.net/AMR.163-167.2756 |
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