Damage Identification of Railway Bridge KW51 Conditions Using Deep-Learning-Based 1D CNN Model
This paper compares the damage identification outcomes of the Machine Learning (ML) and Deep Learning (DL) algorithms. The algorithms in both approaches have employed vibration data from the benchmark railway bridge KW51. The One-Dimensional Convolutional Neural Network (1D CNN) model is exploited i...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Pouyan Press
2025-10-01
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| Series: | Journal of Soft Computing in Civil Engineering |
| Subjects: | |
| Online Access: | https://www.jsoftcivil.com/article_209124_b49af15c260ec8336ee309f32c4f35cf.pdf |
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