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A Machine Learning Approach to Bridge-Damage Detection Using Responses Measured on a Passing Vehicle
This paper proposes a new two-stage machine learning approach for bridge damage detection using the responses measured on a passing vehicle. In the first stage, an artificial neural network (ANN) is trained using the vehicle responses measured from multiple passes (training data set) over a healthy...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767673/ https://www.ncbi.nlm.nih.gov/pubmed/31546759 http://dx.doi.org/10.3390/s19184035 |