TY - GEN
T1 - A Group of Deterioration Curves of Bridges Estimated by Extended em Algorithm
AU - Yoshida, I.
AU - Otake, Y.
AU - Honjo, Y.
N1 - Publisher Copyright:
© 2014 American Society of Civil Engineers.
PY - 2014
Y1 - 2014
N2 - This study proposes a method to separate data into several groups and perform regression analysis for each group at the same time statistically by using EM (Expectation and Maximization) algorithm or its extended formulation to nonlinear regression problem. Using the proposed method, a group of deterioration curves is estimated based on a health index database of 341 bridges by visual inspection in Gifu prefecture, Japan. The ordinary EM algorithm can only treat linear regression, so the algorithm is extended to nonlinear regression problems. In our proposed method, the hidden parameter and standard deviation of error are estimated following the ordinary EM algorithm, whereas nonlinear coefficients are estimated by using Particle Swarm Optimization-one of the global optimization methods. Deterioration curves of the four bridge groups are estimated with the inspection database by the proposed algorithm.
AB - This study proposes a method to separate data into several groups and perform regression analysis for each group at the same time statistically by using EM (Expectation and Maximization) algorithm or its extended formulation to nonlinear regression problem. Using the proposed method, a group of deterioration curves is estimated based on a health index database of 341 bridges by visual inspection in Gifu prefecture, Japan. The ordinary EM algorithm can only treat linear regression, so the algorithm is extended to nonlinear regression problems. In our proposed method, the hidden parameter and standard deviation of error are estimated following the ordinary EM algorithm, whereas nonlinear coefficients are estimated by using Particle Swarm Optimization-one of the global optimization methods. Deterioration curves of the four bridge groups are estimated with the inspection database by the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84933508864&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84933508864&partnerID=8YFLogxK
U2 - 10.1061/9780784413609.042
DO - 10.1061/9780784413609.042
M3 - Conference contribution
AN - SCOPUS:84933508864
T3 - Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
SP - 409
EP - 418
BT - Vulnerability, Uncertainty, and Risk
A2 - Hall, Jim W.
A2 - Au, Siu-Kui
A2 - Beer, Michael
PB - American Society of Civil Engineers (ASCE)
T2 - 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
Y2 - 13 July 2014 through 16 July 2014
ER -