A platform for research: civil engineering, architecture and urbanism
Development of Concrete Bridge Rating Expert System (BREX) in Japan
The aim of the present study is to develop a concrete bridge rating expert system for deteriorated concrete bridges, constructed from a hierarchical neural network in order to carry out fuzzy inference and machine learning. The proposed system evaluates the performance of concrete bridges on the basis of a simple visual inspection and technical specifications. The neural network applied in this study facilitates refinement of the knowledge base by use of the Back-Propagation method, and prevents the inference mechanism of the system from becoming a black box. In this study, the training set for machine learning is obtained from inspection of actual in-service bridges and questionnaire surveys of bridge experts. Furthermore, comparisons between the diagnostic results of bridge experts and those of the proposed system are presented so as to demonstrate the validity of the system's learning capability.
Development of Concrete Bridge Rating Expert System (BREX) in Japan
The aim of the present study is to develop a concrete bridge rating expert system for deteriorated concrete bridges, constructed from a hierarchical neural network in order to carry out fuzzy inference and machine learning. The proposed system evaluates the performance of concrete bridges on the basis of a simple visual inspection and technical specifications. The neural network applied in this study facilitates refinement of the knowledge base by use of the Back-Propagation method, and prevents the inference mechanism of the system from becoming a black box. In this study, the training set for machine learning is obtained from inspection of actual in-service bridges and questionnaire surveys of bridge experts. Furthermore, comparisons between the diagnostic results of bridge experts and those of the proposed system are presented so as to demonstrate the validity of the system's learning capability.
Development of Concrete Bridge Rating Expert System (BREX) in Japan
Kawamura, Kei (author) / Nakamura, Hideaki (author) / Miyamoto, Ayaho (author)
First US-Japan Workshop on Life-Cycle Cost Analysis and Design of Civil Infrastructure Systems ; 2000 ; Honolulu, Hawaii, United States
2001-06-22
Conference paper
Electronic Resource
English
Development of Concrete Bridge Rating Expert System (BREX) in Japan
British Library Conference Proceedings | 2001
|Concrete Bridge Rating Expert System with Machine Learning
British Library Conference Proceedings | 1995
|Development of Concrete Bridge Rating Prototype Expert System with Machine Learning
Online Contents | 1997
|Development of Concrete Bridge Rating Prototype Expert System with Machine Learning
British Library Online Contents | 1997
|BASE | 2019
|