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Tunnel condition assessment via cloud model‐based random forests and self‐training approach
- Source :
- Computer-Aided Civil and Infrastructure Engineering. 36:164-179
- Publication Year :
- 2020
- Publisher :
- Wiley, 2020.
-
Abstract
- To proactively assess the losses caused by the deterioration of metro tunnels during the operational period, a new method, the cloud model‐based random forests (CRFs), is proposed to discu...
- Subjects :
- Computer science
business.industry
Decision tree
Cloud computing
Machine learning
computer.software_genre
Computer Graphics and Computer-Aided Design
Condition assessment
Computer Science Applications
Random forest
Computational Theory and Mathematics
Artificial intelligence
CRFS
business
computer
Self training
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 14678667 and 10939687
- Volume :
- 36
- Database :
- OpenAIRE
- Journal :
- Computer-Aided Civil and Infrastructure Engineering
- Accession number :
- edsair.doi...........6dd88e78598333a4aeae108b4e6e50c4
- Full Text :
- https://doi.org/10.1111/mice.12601