A comparison of artificial neural network learning algorithms for vibration-based damage detection

• Main Authors: Goh, Lyn Dee, Bakhary, Norhisham, Abd. Rahman, Azlan, Ahmad, Baderul Hisham
• Format: Book Section
• Published: Trans Tech Publications 2011
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.utm.my/id/eprint/24159/; http://dx.doi.org/10.4028/www.scientific.net/AMR.163-167.2756

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),...