Development of neuro-fuzzy expert system for serviceability assessment of concrete bridges
Technology reports of the Yamaguchi University Volume 5 Issue 5
Page 335-353
published_at 1996-12
Title
Development of neuro-fuzzy expert system for serviceability assessment of concrete bridges
Creators
Kushida Moriyoshi
Source Identifiers
Creator Keywords
concrete bridge
serviceability assessment
expert system
fuzzy rule
neural network
machine learning
Efforts to develop practical expert systems have been mostly concentrated on how to implement experience-based machine learning successfully. Recently several active researches on machine learning have been undertaken from the viewpoints of knowledge base management. The aim of this study is to develop the Concrete Bridge Rating (Diagnosis) Expert System with machine learning employing the combination of neural networks and bidirectional associative memories (BAM). Introduction of machine learning into this system facilitates knowledge base refinement. By applying the system to an actual in-service bridge, it has been verified that the employed machine learning method using results of questionnaire surveys on bridge experts is effective for the system.
Languages
eng
Resource Type
departmental bulletin paper
Publishers
山口大学工学部
Date Issued
1996-12
File Version
Version of Record
Access Rights
open access
Relations
[ISSN]0386-3433
[NCID]AA0086073X
Schools
工学部