TY  - JOUR 
AU  - Pereda, María
AU  - Santos Martín, José Ignacio
AU  - Martín, Óscar
AU  - Galán Ordax, José Manuel
PY  - 2015
SN  - 1362-1718
UR  - http://hdl.handle.net/10259/3928
AB  - In this work, several of the most popular and state-of-the-art classification methods are compared as pattern recognition tools for classification
of resistance spot welding joints. Instead of using the result of a non-destructive
testing technique...
LA  - eng
PB  - Maney Publishing
KW  - Resistance spot welding
KW  - Classification
KW  - Pattern recognition
KW  - Quality control
KW  - Support vector machines
KW  - Random forest
KW  - Artificial neural networks
KW  - Empresas-Gestión
KW  - Industrial management
TI  - Direct quality prediction in resistance spot welding process: Sensitivity, specificity and predictive accuracy comparative analysis
DO  - 10.1179/1362171815Y.0000000052
ER  -