Monitoring of Multivariate Processes Through the Regression Adjustment Procedure Based on Artificial Neural Networks

In current production systems, organizations must control the total of the variables that have a correlated influence on the final quality of the products. For this task, multivariate statistical control is used. One of the most used multivariate control methods is the so-called regression adjustmen...

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Veröffentlicht in:	Revista IEEE América Latina 2019-06, Vol.17 (6), p.1020-1028
Hauptverfasser:	Ruelas, E., Vazquez, J., Cruz, J, Baeza, R., Sanchez, J., Jimenez, J.
Format:	Artikel
Sprache:	eng ; spa
Schlagworte:	Artificial intelligence artificial neural network Artificial neural networks Biological system modeling Change detection Control charts Control methods Dependent variables IEEE transactions Independent variables Monitoring Multivariate analysis multivariate statistical control Neural networks Process control Regression RNA Statistical analysis Task analysis
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