Villalón-Turrubiates, I.E.; López-Herrera, R.; García-Alcaraz, J.L.; Díaz-Reza, J.R.; Soto-Cabral, A.; González-Lazalde, I.; Grijalva-Avila, G.; Rodríguez-Álvarez, J.L.
A Non-Invasive Method to Evaluate Fuzzy Process Capability Indices via Coupled Applications of Artificial Neural Networks and the Placket–Burman DOE. Mathematics 2022, 10, 3000.
https://doi.org/10.3390/math10163000
AMA Style
Villalón-Turrubiates IE, López-Herrera R, García-Alcaraz JL, Díaz-Reza JR, Soto-Cabral A, González-Lazalde I, Grijalva-Avila G, Rodríguez-Álvarez JL.
A Non-Invasive Method to Evaluate Fuzzy Process Capability Indices via Coupled Applications of Artificial Neural Networks and the Placket–Burman DOE. Mathematics. 2022; 10(16):3000.
https://doi.org/10.3390/math10163000
Chicago/Turabian Style
Villalón-Turrubiates, Iván E., Rogelio López-Herrera, Jorge L. García-Alcaraz, José R. Díaz-Reza, Arturo Soto-Cabral, Iván González-Lazalde, Gerardo Grijalva-Avila, and José L. Rodríguez-Álvarez.
2022. "A Non-Invasive Method to Evaluate Fuzzy Process Capability Indices via Coupled Applications of Artificial Neural Networks and the Placket–Burman DOE" Mathematics 10, no. 16: 3000.
https://doi.org/10.3390/math10163000
APA Style
Villalón-Turrubiates, I. E., López-Herrera, R., García-Alcaraz, J. L., Díaz-Reza, J. R., Soto-Cabral, A., González-Lazalde, I., Grijalva-Avila, G., & Rodríguez-Álvarez, J. L.
(2022). A Non-Invasive Method to Evaluate Fuzzy Process Capability Indices via Coupled Applications of Artificial Neural Networks and the Placket–Burman DOE. Mathematics, 10(16), 3000.
https://doi.org/10.3390/math10163000
