Feature Selection and Deep Learning for Deterioration Prediction of the Bridges-Reference-Cited by-同舟云学术

Feature Selection and Deep Learning for Deterioration Prediction of the Bridges

Published:2021-12 Issue:6 Volume:35 Page:04021078
ISSN:0887-3828
Container-title:Journal of Performance of Constructed Facilities
language:en
Short-container-title:J. Perform. Constr. Facil.

Author:

Zhu Jinsong¹^ORCID,Wang Yanlei²

Affiliation:

1. Professor, Key Laboratory of Coast Civil Structure Safety (Ministry of Education), School of Civil Engineering, Tianjin Univ., Tianjin 300072, People’s Republic of China (corresponding author). ORCID: .

2. Ph.D. Candidate, School of Civil Engineering, Tianjin Univ., Tianjin 300072, People’s Republic of China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CF.1943-5509.0001653

Reference37 articles.

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2. Estimating the Future Condition of Highway Bridge Components Using National Bridge Inventory Data

3. Modeling Bridge Deterioration with Markov Chains

4. Forecasting long-term bridge deterioration conditions using artificial intelligence techniques;Creary P. A.;Int. J. Intell. Syst. Tech. Appl.,2014

5. Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete

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