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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| Pengarang-pengarang Utama: | , , , |
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| Format: | Conference or Workshop Item |
| Diterbitkan: |
2011
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| Capaian Atas Talian: | http://eprints.utm.my/45474/ http://eprints.utm.my/45474/ |
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