Study on Hairiness of Polyester/Cotton Blended Yarn in Rotor Spinning Via Artificial Neural Network Theory

摘要

In this study, in order to predict the cotton/polyester blended yarn hairiness of rotor spinning, an ANN model is developed. The ANN theory is an important technique of yarn virtual processing to predict the yarn hairiness. By analyzing, we can predict the hairiness of cotton/polyester blended yarn in rotor spinning. The results show that the predicted and experimental values agree well with, indicating that the neural network is an excellent method for predictors.