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: | Article |
| Published: |
Trans Tech Publications
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/44681/ |
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