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Using neural networks to predict the effect of the preload location on the natural frequencies of a cantilever beam
With the evolution of computational power of computers in 20th century, neural networks (NNs) are becoming more popular in different engineering applications because of its ability to approximate static and dynamic, linear and non-linear, multi-dimensional systems. For example, they are used in indu...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640955/ https://www.ncbi.nlm.nih.gov/pubmed/36387527 http://dx.doi.org/10.1016/j.heliyon.2022.e11242 |