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DATA ANALYSIS FOR OPTIMAL PRINTER CHARACTERIZATION (CROSBI ID 564877)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Donevski, Davor ; Milčić, Diana ; Banić, Dubravko DATA ANALYSIS FOR OPTIMAL PRINTER CHARACTERIZATION // MOTSP 2010 Conference Proceedings / Barić, Gordana ; Đukić, Goran (ur.). Zagreb: Fakultet strojarstva i brodogradnje Sveučilišta u Zagrebu, 2010

Podaci o odgovornosti

Donevski, Davor ; Milčić, Diana ; Banić, Dubravko

engleski

DATA ANALYSIS FOR OPTIMAL PRINTER CHARACTERIZATION

Output devices in print production can be characterized by different characterization methods. The most common methods used for this purpose are the regression methods. In essence, the regression techniques are used to determine the coefficients of a predetermined polynomial, such that the sum of squared differences between the values predicted by the model and the empirical data is minimal. The choice of the polynomial order and the number of terms which best describe the behavior of a certain device is not obvious. This paper investigates the criteria in the measurement data which can be used for optimal model selection.

regression model; characterization data; printer characterization

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Podaci o prilogu

2010.

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objavljeno

978-953-7738-09-9

Podaci o matičnoj publikaciji

MOTSP 2010 Conference Proceedings

Barić, Gordana ; Đukić, Goran

Zagreb: Fakultet strojarstva i brodogradnje Sveučilišta u Zagrebu

Podaci o skupu

Management of Technology - Step to Sustainable Production

predavanje

02.06.2010-04.06.2010

Rovinj, Hrvatska

Povezanost rada

Grafička tehnologija