Classification of gravure printed patterns using singular value decomposition and machine learning (MATLAB code)
Datum
2023Personen
Beschreibung
This dataset contains MATLAB code ('code_MachLearn_ImgClass.zip') for automated classification of gravure printed patterns from the HYPA-p dataset. The developed algorithm performs singular value decomposition (SVD) and training of several machine learning classifiers, such as k-Nearest Neighbors (kNN). The classifiers are trained and tested on labeled data. Afterwards, the trained classifiers can be used for automated classification of unlabeled data.
Further information can be found in the provided README-file.
Further information can be found in the provided README-file.
Schlagwort
MATLAB code;reduced-order modeling;pattern classification;singular value decomposition;machine learning;gravure printing;hydrodynamic pattern formationDFG-Fächer
4.21-03 Mechanische Verfahrenstechnik4.22-03 Strömungsmechanik
4.31-03 Beschichtungs- und Oberflächentechnik
Zugehörige Drittmittelprojekte
DFG | SFB1194 | TP C01 DörsamSammlungen
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Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Creative Commons Attribution-NonCommercial 4.0