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The mechanical and physical properties of fusible interlinings and fabrics depend on their constructional parameters, but fused panel properties depend on all of them. A new approach is presented for analysing the dependence of the constructional parameters of fabrics on the properties of fused panels. This study was carried out on the basis of a knowledge base for predicting the formability of fused panels made from wool fabrics suitable for upper clothes. This knowledge base was constructed using program package RETIS for machine learning from examples. This knowledge was presented in the form of regression trees. Using regression trees it is possible to predict the properties of a fused panel as well as to analyse the influence of parameters on the properties of a fused panel. Furthermore the results of analysis gained by regression trees were compared and confirmed using experimental measurements.

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