About this document
Jigger-Dyed Fabric Color Prediction by Cristina Cornea is a document available to read on EtoBox.
This article describes using a Cascade Neural Network (CNN) to predict the color and color solidity of cellulose-based fabrics dyed using a jigger machine. The CNN is composed of two modules - one to predict color based on dye and process parameters, and another to predict color solidity. It was validated using experimental dyeing data and achieved good prediction accuracy.
- Author
- Cristina Cornea
- Language
- EN