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Modeling of the Sintered Density in Cu-Al Alloy Using Machine Learning Approaches
[Image: see text] In powder metallurgy materials, sintered density in Cu-Al alloy plays a critical role in detecting mechanical properties. Experimental measurement of this property is costly and time-consuming. In this study, adaptive boosting decision tree, support vector regression, k-nearest nei...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10413372/ https://www.ncbi.nlm.nih.gov/pubmed/37576653 http://dx.doi.org/10.1021/acsomega.2c07278 |