The article gives examples of applications of artificial neural networks for research and evaluation of flat textiles (waven fabrics and knitted fabrics). The main attention focused on the detection and classification faults of fabrics, as well as predicting the handle and comfort of clothing.
This article attempts to systematize some scientific problems of classification, recognition, prediction, estimation, optimization, control, approximation of research object via artificial neural networks. There were presented different methods of classifying artificial neural networks (due to the flow of information, types of tasks, way of learning networks, as well as the transition function and topology). Due to the types of tasks artificial neural networks are divided into networks intended to solve regression problems, classification tasks, clustering analysis and time series analysis. The article mentions the industrial fields of applications of artificial neural networks, with particular consideration on areas of the textile industry.
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