A hierarchical neural network for identification of multiple damage using modal parameters

• Main Authors: S.J.S., Hakim, J.M., Irwan, M.H.W, Ibrahim, S., Shahidan, S.S., Ayop, N., Anting, T.N.T, Chik
• Format: Conference or Workshop Item
• Language: English
• Published: 2023
• Subjects: TA329-348 Engineering mathematics. Engineering analysis
• Online Access: http://eprints.uthm.edu.my/11643/1/P16682_74e0e3ab01b75e48402da271f894d8d4%209.pdf; http://eprints.uthm.edu.my/11643/
• Institution: Universiti Tun Hussein Onn Malaysia

Artificial neural networks have been applied extensively in recent years due to their excellent performance in pattern recognition, which is useful for detecting damage in structural elements. The application of multiple damage cases by an ensemble neural network using dynamic parameters of struct...