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

• 主要な著者: Goh, Lyn Dee, Bakhary, Norhisham, Abdul Rahman, Azlan, Ahmad, Baderul Hisham
• フォーマット: 論文
• 出版事項: Trans Tech Publications 2011
• 主題: QA76 Computer software
• オンライン･アクセス: http://eprints.utm.my/id/eprint/44681/

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),...