Journal
JOURNAL OF THE TEXTILE INSTITUTE
Volume 97, Issue 2, Pages 129-136Publisher
TEXTILE INST
DOI: 10.1533/joti.2005.0135
Keywords
artificial neural network; pilling prediction; wool; knitted fabrics
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This work investigates the application of artificial neural network modeling (ANN) to model the relationships between fiber, yarn, and fabric properties and the pilling propensity of single jersey and rib pure wool knitted fabrics based on the ICI Pilling Box method. Validation of the model on an independent validation data set suggests that the accurate prediction of pilling propensity is possible with the best performing model achieving a correlation with the subjectively rated pilling grades of approximately 85%. Importantly, it is also illustrated that a larger training set can lead to a marked improvement in the accuracy of predictions.
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