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Influence of the parameters of the convolutional neural network model in predicting the effective compressive modulus of porous structure
In recent years, the convolutional neural network (CNN) technique has emerged as an efficient new method for designing porous structure, but a CNN model generally contains a large number of parameters, each of which could influence the predictive ability of the CNN model. Furthermore, there is no co...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520359/ https://www.ncbi.nlm.nih.gov/pubmed/36185439 http://dx.doi.org/10.3389/fbioe.2022.985688 |