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Condition state evaluation of existing reinforced concrete bridges using neuro-fuzzy hybrid system

Computers and structures Volume 81 Issue 18-19 Page 1931-1940
published_at 2003-08
Title
Condition state evaluation of existing reinforced concrete bridges using neuro-fuzzy hybrid system
Creators Kawamura Kei
Creators Miyamoto Ayaho
Creator Keywords
Bridge rating Durability Load-carrying capability Expert system Fuzzy reasoning Machine learning Multi-layer neural network
This article presents a new approach for developing a concrete bridge rating expert system for deteriorated concrete bridges, constructed from multi-layer neural networks. The system evaluates the performance of concrete bridges on the basis of a simple v
Languages eng
Resource Type journal article
Publishers Pergamon Press
Date Issued 2003-08
File Version Not Applicable (or Unknown)
Access Rights metadata only access
Relations
[ISSN]0045-7949
[NCID]AA00613639
info:doi/10.1016/S0045-7949(03)00213-X
[isVersionOf] [URI]http://www.sciencedirect.com/science/journal/00457949
Schools 大学院理工学研究科(工学)