Modeling Color Fading Ozonation of Textile Using Artificial Intelligence
Résumé
Textile products with faded effect achieved via ozonation are increasingly popular recently. In this study, the effect of ozonation in terms of pH, temperature, water pickup , time and applied colors on the color fading performance of reactive-dyed cotton are modeled using Extreme Learning Machine (ELM), Support Vector Regression (SVR) and Random Forest Regression (RF) respectively. It is found that RF and SVR perform better than ELM in this issue, but SVR is more recommended to be sued in the real application due to its balance predicting performance and less training time.
Domaines
Intelligence artificielle [cs.AI]
Fichier principal
Modeling Color Fading Ozoantion of Dyed Textile Using Artificial Intelligence.pdf (909.58 Ko)
Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)