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)...

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Detalles Bibliográficos
Autores principales: Mukhtar, Azfarizal, Yasir, Ahmad Shah Hizam Md, Nasir, Mohamad Fariz Mohamed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
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

Internet

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

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