In this research, artificial neural networks, one of the most common branches of artificial
intelligence, were used to evaluate the diameter of the cotton yarn. The necessary data
were collected and practical tests were carried out. Then, an algori
thm for the artificial
neural network was established, which provides the possibility of determining the yarn
diameter from the input variables, represented by the count and twist yarn. Where after
the creation of many networks, one was selected which gave the lowest error rate.