A Deep Neural Network Based Model for a Kind of Magnetorheological Dampers

In this paper, a deep neural network based model for a set of small-scale magnetorheological dampers (MRD) is developed where relevant parameters that have a physical meaning are inputs to the model. An experimental platform and a 3D-printing rapid prototyping facility provided a set of different co...

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Detalles Bibliográficos
Autores principales: Duchanoy, Carlos A., Moreno-Armendáriz, Marco A., Moreno-Torres, Juan C., Cruz-Villar, Carlos A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470691/
https://www.ncbi.nlm.nih.gov/pubmed/30884877
http://dx.doi.org/10.3390/s19061333

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470691/
https://www.ncbi.nlm.nih.gov/pubmed/30884877
http://dx.doi.org/10.3390/s19061333

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