Rock mass quality classification based on deep learning: A feasibility study for stacked autoencoders
Objective and accurate evaluation of rock mass quality classification is the prerequisite for reliable stability assessment. To develop a tool that can deliver quick and accurate evaluation of rock mass quality, a deep learning approach is developed, which uses stacked autoencoders (SAEs) with sever...
Guardat en:
| Autors principals: | , , , , , |
|---|---|
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2023-07-01
|
| Col·lecció: | Journal of Rock Mechanics and Geotechnical Engineering |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S1674775522001834 |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|