Performance evaluation of friction stir welding using machine learning approaches

The aim of the present study is to evaluate the potential of sophisticated machine learning methodologies, i.e. Gaussian process (GPR) regression, support vector machining (SVM), and multi-linear regression (MLR) for ultimate tensile strength (UTS) of friction stir welded joint. Three regression mod...

Descripción completa

Detalles Bibliográficos
Autores principales: Verma, Shubham, Gupta, Meenu, Misra, Joy Prakash
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Engineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139393/
https://www.ncbi.nlm.nih.gov/pubmed/30225205
http://dx.doi.org/10.1016/j.mex.2018.09.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139393/
https://www.ncbi.nlm.nih.gov/pubmed/30225205
http://dx.doi.org/10.1016/j.mex.2018.09.002

Ejemplares similares