TY - GEN
T1 - Design of artificial neural networks for structural health monitoring
AU - Lam, H. F.
AU - Yuen, K. V.
PY - 2003
Y1 - 2003
N2 - This paper addresses the problem of structural health monitoring (damage detection) based on the pattern matching approach utilizing dynamic data. Artificial Neural Networks (ANNs) are employed as tools for matching the "damage patterns" for the purpose of detecting the damage location and the corresponding damage extent. This paper concentrates on the design of ANNs, which is usually neglected or only slightly addressed in the literature. It is very clear that the selection of the class of feedforward ANN models, that is to decide the number of hidden layers and the number of nodes in each hidden layer, has significant effect on both the training of ANNs and the performance of the trained ANNs. In this paper, an ANN class selection method, which follows the Bayesian probabilistic approach, is proposed. A five-story building example is used to demonstrate the proposed methodology. © 2003 Swets & Zeitlinger, Lisse.
AB - This paper addresses the problem of structural health monitoring (damage detection) based on the pattern matching approach utilizing dynamic data. Artificial Neural Networks (ANNs) are employed as tools for matching the "damage patterns" for the purpose of detecting the damage location and the corresponding damage extent. This paper concentrates on the design of ANNs, which is usually neglected or only slightly addressed in the literature. It is very clear that the selection of the class of feedforward ANN models, that is to decide the number of hidden layers and the number of nodes in each hidden layer, has significant effect on both the training of ANNs and the performance of the trained ANNs. In this paper, an ANN class selection method, which follows the Bayesian probabilistic approach, is proposed. A five-story building example is used to demonstrate the proposed methodology. © 2003 Swets & Zeitlinger, Lisse.
UR - https://www.scopus.com/pages/publications/84857730256
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84857730256&origin=recordpage
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9789058096487
SN - 9058096475 (2-v. set)
SN - 9058096483 (v. 1)
SN - 9058096491 (v. 2)
VL - 1
SP - 611
EP - 618
BT - Structural Health Monitoring and Intelligent Infrastructure
A2 - Wu, Z.S.
A2 - Abe, M.
PB - Swets & Zeitlinger
T2 - 1st International Conference on Structural Health Monitoring and Intelligent Infrastructure (SHMII-1)
Y2 - 13 November 2003 through 15 November 2003
ER -