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Bayesian-Based Hyperparameter Optimization of 1D-CNN for Structural Anomaly Detection
With the rapid development of sensor technology, structural health monitoring data have tended to become more massive. Deep learning has advantages when handling big data, and has therefore been widely researched for diagnosing structural anomalies. However, for the diagnosis of different structural...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255421/ https://www.ncbi.nlm.nih.gov/pubmed/37299785 http://dx.doi.org/10.3390/s23115058 |