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A machine learning-based comparative analysis of surrogate models for design optimisation in computational fluid dynamics
Complex computer codes are frequently used in engineering to generate outputs based on inputs, which can make it difficult for designers to understand the relationship between inputs and outputs and to determine the best input values. One solution to this issue is to use design of experiments (DOE)...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405017/ https://www.ncbi.nlm.nih.gov/pubmed/37554836 http://dx.doi.org/10.1016/j.heliyon.2023.e18674 |