Ensemble-Learning-Based Prediction of Steel Bridge Deck Defect Condition

Ensemble-Learning-Based Prediction of Steel Bridge Deck Defect Condition

This study developed an ensemble-learning-based bridge deck defect condition prediction model to help bridge managers make more rational and informed steel bridge deck maintenance decisions. Using the latest data from the NBI database for 2021, this study first used ADASYN to solve imbalance problem...

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Bibliographic Details
Main Authors: Qingfu Li, Zongming Song
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
steel bridge deck
data mining
artificial intelligence
ensemble learning
defect condition prediction
feature importance
Online Access:https://www.mdpi.com/2076-3417/12/11/5442

Internet

https://www.mdpi.com/2076-3417/12/11/5442

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