TY  - GEN 
AU  - Jiménez Come, María Jesús
AU  - Turias Domínguez, Ignacio José
AU  - Ruiz Águilar, Juan Jesús
AU  - Trujillo Espinosa, Francisco José
A4  - Ingeniería Industrial e Ingeniería Civil
PY  - 2015
SN  - 1521-4176
UR  - http://hdl.handle.net/10498/19656
AB  - In this work, different classification models were proposed to predict the pitting corrosion status of AISI 316L stainless steel according to the environmental conditions and the breakdown potential values. In order to study the pitting corrosion...
LA  - eng
KW  - pitting
KW  - artificial neural networks
KW  - stainless steel
KW  - corrosion
KW  - ROC space
TI  - Characterization of pitting corrosion of stainless steel using artificial neural networks
DO  - 10.1002/maco.201408173
ER  -