Vol. 8, Issue 12, Part A (2022)

Abstract
The term neural network is used to describe different models intended to imitate some of the functions of human brain using its basic structure. Artificial neural network (ANN) models have been shown to provide good approximations in the presence of noisy data and a smaller number of experimental points. The assumptions, under which ANN models works, are less strict than those for regression models. Therefore, over the past decades, ANNs have been used for modeling various textile nonlinear problems. From spinning to garment manufacturing units, it has contributed in many ways improving processability, reducing cost and minimizing variability in quality aspects. The present paper discusses various applications of artificial neural network in textiles so as to realize us that there are still a lot, which is to be exploited by implementing the use of this tool.