Abstract
Textile Engineering relies increasingly on the use of computer models that seek to predict the properties and performance of certain textile structures. Those models have been using different computational tools to represent fabrics in a suitable computing environment and also to predict its final properties. Among others, the mathematical models to simulate the behavior of the studied textile structures (yarns, fabrics, kniting and nonwoven). The analysis of textile designs or structures through the Finite Element Method (FEM) has largely facilitated the prediction of their behavior of the textile structure under mechanical loads. For classification problems Artificial Neural Networks (ANNs) have proved to be a very effective tool for a quick and accurate solution. The Case-Based Reasoning (CBR) method is proposed, to complement the results of the those systems where the finite element simulation, mathematical modeling and neural networks can not be applied.
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