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: Goh, Lyn Dee, Bakhary, Norhisham, Abdul Rahman, Azlan, Ahmad, Baderul Hisham
Format: Artikel
Diterbitkan: Trans Tech Publications 2011
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Capaian Atas Talian:http://eprints.utm.my/44681/
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