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The use of artificial neural networks for colour prediction in textile printing
Darko Golob, Jure Zupan, Đurđica Parac-Osterman, 2008, objavljeni znanstveni prispevek na konferenci

Opis: An attempt of using artificial neural networks for the prediction of dzes in textile printing paste preparation is presented. An existing collection of printed samples served as the basis for neural network training. It consists of 1340 samples printed using either a single dze or a combination of two dzes. First the proper combination of dzes was determined, because in most cases onlz two dzes are combined in the printing paste. Then the necessarz concentration of each dze was predicted. The reflectance value, and the colourvalues L*, a*, b* serve as input data and the known combination and concentrations of dzes for each sample were the targets. Some variations of neural network were tested, as well as various numbers of neurons in the hidden lazer. In addition, the influence of the training set organisation was examined, together with the number of learning epochs on the learning success.
Ključne besede: artificial neural networks, textile printing, colour recipe prediction
Objavljeno: 31.05.2012; Ogledov: 1360; Prenosov: 40
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