Measurements Data Analysis and Defect Classification Using NN (CROSBI ID 576263)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Radelja, Hrvoje ; Kršulja, Marko ; Šikulec, Leon ; Car, Zlatan
engleski
Measurements Data Analysis and Defect Classification Using NN
This paper presents an analysis of measurement data of turbine housing workpieces, collected with coordinate measuring machine (CMM), so it can be used to train neural network to identify defect workpieces. Software used to create and train neural network are Matlab and NeuroSolutions. Comparison of minimum training mean square error (EMS) for different number of neurons in hidden layer is given and the best number of neurons is chosen. Methodology for reducing the number of necessary dimensions to efficiently classify defects is researched.
neural network; measurement; defect classification; CMM
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Podaci o prilogu
770-772.
2011.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of International Conference on Innovative Technologies IN-TECH
Kudlaček, Jan ; Car, Zlatan ; Barišić, Branimir ; Pepelnjak, Tomaž ; Pakosta, Michal ; Kršulja, Marko
Prag: Tisk AS Jaroměř
978-80-904502-6-4
Podaci o skupu
International Conference on Innovative Technologies IN-TECH 2010
predavanje
01.09.2011-03.09.2011
Bratislava, Slovačka