Cargando…
Prediction of Cavity Length Using an Interpretable Ensemble Learning Approach
The cavity length, which is a vital index in aeration and corrosion reduction engineering, is affected by many factors and is challenging to calculate. In this study, 10-fold cross-validation was performed to select the optimal input configuration. Additionally, the hyperparameters of three ensemble...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9819684/ https://www.ncbi.nlm.nih.gov/pubmed/36613022 http://dx.doi.org/10.3390/ijerph20010702 |