Prediction of wool knitwear pilling propensity using data mining techniques
Data(s) |
01/01/2010
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Resumo |
This thesis examined the application of data mining techniques to the issue of predicting pilling propensity of wool knitwear. Using real industrial data, a pilling propensity prediction tool with embedded trained support vector machines is developed to provide high accuracy prediction to wool knitwear even before the yarn is spun! |
Identificador | |
Idioma(s) |
eng |
Publicador |
Deakin University, Institute for Technology Research and Innovation |
Palavras-Chave | #Pilling (Textiles) #Woolen and worsted manufacture #Data mining |
Tipo |
Thesis |