A Non-Invasive Method to Evaluate Fuzzy Process Capability Indices via Coupled Applications of Artificial Neural Networks and the Placket–Burman DOE
https://www.mdpi.com/2227-7390/10/16/3000
Αποθηκεύτηκε σε:
Άλλοι συγγραφείς: | Villalon Turrubiates, Ivan E, García-Alcaraz, Jorge Luis, Díaz Reza, José Roberto, Lopez Herrera, Rogelio, Soto Cabral, Arturo, Ganzalez Lazalde, Ivan, Grijalva Avila, Gerardo, Rodriguez Alvarez, José Luis |
---|---|
Μορφή: | Artículo |
Γλώσσα: | en_US |
Έκδοση: |
2022
|
Θέματα: | |
Διαθέσιμο Online: | https://doi.org/10.3390/math10163000 https://www.mdpi.com/2227-7390/10/16/3000 |
Ετικέτες: |
Προσθήκη ετικέτας
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!
|
Παρόμοια τεκμήρια
-
Novel method to achieve crystallinity of calcite by Bacillus subtilis in coupled Open Access and non‐coupled calcium‐carbon sources
Έκδοση: (2020) -
A Convolutional Neural Network for Handwritten Digit Recognition
ανά: Guevara Neri, Maria Cristina
Έκδοση: (2019) -
Capability indices for circular tolerance regions based on a Gaussian copula
ανά: Rodriguez Picon, Luis Alberto
Έκδοση: (2019) -
Flexible biosensor prototype for non-invasive non-enzymatic glucose determination: 9CP25-3
ανά: Saúl David Alejandrez Espino, κ.ά.
Έκδοση: (2025) -
Contrasting bean analysis system based on YOLOv5 and a neural network model using the interval type-2 fuzzy set approach
Έκδοση: (2024)