Artificial neural networks have been used in all stages of the manufacturing process of textiles, from fibers, and even at the stage of forming a fiber-forming polymers, starting and ending with finished products. This article presents som examples ofapplications of artificial neural networks used to improve the qualit of spinning processes. Artificial neural multilayer perceptron type learned usin a back propagation algorithm and the algorithm of Marquardt are inter alii to predict the course of the spinning process as well as predicting the physicc properties of yarns, ensuring sufficient accuracy.
The article presents the basic types of artificial neural networks (ANN), designed to solve the regression problems, engineering applications, engineering manufacturing as well as in industrial conditions. The group included these networks are Adaline network, Madaline networks, linear, unidirectional network perpceptron type of multi-layer (MLP), Generalized Regression Neural Networks (GRNN) and a network of radial basis function (RBF).
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