Prediction of Press-Fit Quality via Data Mining Techniques and Artificial Intelligence

Prediction of Press-Fit Quality via Data Mining Techniques and Artificial Intelligence

Determining the press-fit quality of pieces in advance is of the utmost importance because it enables the reduction of the time that is invested in the process and the prevention of material losses. High predictive accuracy is essential in a classification model; however, several studies have shown...

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Bibliographic Details
Main Authors: Rene Cruz Guerrero, Maria De Los Angeles Alonso Lavernia, Isaias Simon Marmolejo
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Press fit
predictive model
classification
association rules
ontology schema
Online Access:https://ieeexplore.ieee.org/document/8888164/

Internet

https://ieeexplore.ieee.org/document/8888164/

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